The invention relates generally to network communications. More particularly, the invention relates to a method and apparatus for cancellation of transceiver non-linearity due to transmit signals.
High-speed networks are continually evolving. The evolution includes a continuing advancement in the operational speed of the networks. The network implementation of choice that has emerged is Ethernet networks physically connected over unshielded twisted pair wiring. Ethernet in its 10/100BASE-T form is one of the most prevalent high speed LANs (local area network) for providing connectivity between personal computers, workstations and servers.
High-speed LAN technologies include 100BASE-T (Fast Ethernet) and 1000BASE-T (Gigabit Ethernet). Fast Ethernet technology has provided a smooth evolution from 10 Megabits per second (Mbps) performance of 10BASE-T to the 100 Mbps performance of 100BASE-T. Gigabit Ethernet provides 1 Gigabit per second (Gbps) bandwidth with essentially the simplicity of Ethernet. There is a desire to increase operating performance of Ethernet to even greater data rates.
An implementation of high speed Ethernet networks includes simultaneous, full bandwidth transmission, in both directions (termed full duplex), within a selected frequency band. When configured to transmit in full duplex mode, Ethernet line cards are generally required to have transmitter and receiver sections of an Ethernet transceiver connected to each other in a parallel configuration to allow both the transmitter and receiver sections to be connected to the same twisted wiring pair for each of four pairs.
One result of full duplex transmission is that the transmit signals shares the same transmission channel as the receive signals, and some of the transmit signal processing shares at least some electronic circuitry with receive processing. Non-linearities of transmit signals can be generated within the transmitter section of the transceiver, and at least some of the non-linearities can be imposed onto the receive signal. The result is distortion of the receive signal.
Full duplex transmission can result in at least a portion of the transmit signal being coupled back into the receive signal. The portion of the transmit signal that couples back is referred to as an echo signal. Linear portions of the echo signal can be canceled by subtracting an approximate echo signal from the received signal. Generation of the echo cancellation signal, and cancellation process can also introduce non-linearities which can be imposed on the receive signal. The result is additional distortion of the receive signal.
Additionally, the receive signal itself can introduce non-linearities. For example, the receiver section typically includes an ADC which converts the analog receive signal into a digital stream. This ADC can introduce receive signal non-linearity.
It is desirable to have an apparatus and method for reducing non-linearity of a receive signal due to a transmission signal of a full-duplex transceiver. It is additionally desirable to reduce non-linearity of the receive signal due to echo signal cancellation.
An embodiment of the invention includes a method of reducing non-linear transmit signal components of a receive signal of a transceiver. The method includes the transceiver simultaneously transmitting a transmit signal, and receiving the receive signal. A non-linear replica signal of non-linear transmission signal components that are created in the transceiver by a transmit signal DAC, and imposed onto the receive signal, is generated. The non-linear replica signal is combined with the received signal reducing the non-linear transmission signal components imposed onto the receive signal.
Another embodiment includes an Ethernet transceiver. The transceiver includes a transmitter for transmitting a transmit signal, and a receiver for receiving a receive signal. A non-linear filter receives the transmit signal and generates a non-linear replica signal of non-linear transmit signal DAC components imposed onto receive signal in the transceiver. A summer combines the replica with the receive signal to cancel non-linear transmit signal DAC component of the receive signal.
Another embodiment includes a method of linearizing an Ethernet received signal of an Ethernet transceiver. The method includes the transceiver simultaneously transmitting a transmit signal and receiving the receive signal, generating a non-linear replica signal, the non-linear replica signal approximating non-linear signal components of the transmission signal imposed onto the receive signal within the transceiver, and combining the non-linear replica signal from the receive signal.
Other aspects and advantages of the present invention will become apparent from the following detailed description, taken in conjunction with the accompanying drawings, illustrating by way of example the principles of the invention.
The present invention is readily understood by the following detailed description in conjunction with the accompanying drawings, wherein like reference numerals designate like structural elements, and in which:
As shown in the drawings for purposes of illustration, the invention is embodied in an apparatus and methods for linearizing receive signals of a transceiver. Non-linearities due to transmission signals, transmission echo cancellation signals, and the receive signal can be reduced by generating non-linear signal cancellation signals. The non-linear signal cancellation signals can be generated by non-linear filtering of transmit signals, echo cancellation signals and the receive signals.
The descriptions provided are generally focused on Ethernet transceivers, but the embodiment can be used in other configurations of transceivers as well.
The receiver section 208 can additionally include an adjustable gain amplifier 220, and analog to digital converter (ADC) 230.
Another summer 210 shown in
The digital transmission signal x(t) is passed through a transmission DAC 204 before transmission through the transmission channel 200, generating an analog transmission signal x′(t). The digital to analog conversion can create non-linear signal components that can be imposed on the receive signal. These non-linearities reduce the performance of the transceiver.
The non-linear replica signal generated by the non-linear filtering of the transmission signal reduces the non-linear components imposed on the receive signal by negatively summing the non-linear replica signal with the receive signal. The non-linear replica signal cancels the non-linear components imposed on the receive signal by, for example, the transmission DAC 204.
For this embodiment, the non-linear filter receives a single input which can be the transmission signal x(t), and generates the non-linear replica signal. As will be described, the non-linear filtering can include linear combinations of known regressors. Coefficients of the non-linear filter can be determined by correlating an output of a receiver ADC 230 with an output of a corresponding regressor within the filter. That is, as will be shown, each coefficient of the filter corresponds with a particular regressor. The adaptively determined value of the coefficient can be calculated by correlating the output of the corresponding regressor and the digitally sampled receive signal. Embodiments of the non-linear filter will be described.
The echo cancellation signal can generate non-linearities as well. For example, an echo signal DAC 306 can generate non-linear signal components that can be imposed on the receive signal. A multiple input non-linear filter 350 can filter the transmission signal x(t) and the echo signal e(t) generating the non-linear replica signal. The non-linear replica signal is combined with the receive signal, reducing the non-linearites of the receive signal as imposed by the transmit signal DAC non-linearities and the echo signal DAC non-linearities.
As described, the non-linear filter 350 includes multiple inputs (x(t), e(t)) and generates a single output (the non-linear replica signal). Coefficients of the non-linear filter can be determined by correlating an output of a receiver ADC 230 with an output of a corresponding regressor within the filter.
The either or both of the DACs 304, 306 can be over-sampled. That is, the sampling rate of the DACs 304, 306 can be set to a rate that is greater than the symbol rate of the symbol stream being received by the DACs 304, 306. Therefore, the linearizing is performed on over-sampled signals. The symbol rate can be, for example, 800 MHz. Over-sampling can be used for all of the different methods of signal linearization discussed.
The non-linear replica signal is generated by a multiple input non-linear filter 450 that filters the transmit signal and the receive signal, generating the non-linear replica signal. As previously described, the transmission DAC 404 of the transmit signal x(t) can cause non-linear distortion of the transmission signal x(t) that can be imposed on the receive signal r(t). The non-linear replica signal generated by the non-linear filter 450 is negatively summed (combined) with the receive signal at a summer 240 reducing the non-linear components (distortion) imposed on the receive signal.
The receive signal r(t) is converted to an digital signal r″(t) be the ADC 230. This conversion can additionally contribute to the non-linear components (distortion) of the receive signal. The non-linear replica signal of the non-linear filter 450 can also reduce these non-linear components by filtering the receive signal r″(t). The non-linear replica signal is influenced by the filtering and is summed (combined) at the summer 240 to reduce the non-linear components generated by the ADC 230.
The signal amplitude of the receive signal is amplified by the adjustable gain amplifier 220 before the receive signal is passed through the ADC 230. The amplifier 220 can cause non-linear distortion of the receive signal. The non-linear distortion can be signal amplitude and/or signal frequency dependent. The non-linear distortion can additionally be dependent on other sources of receive signal distortion, such as, NEXT, FEXT and echo signal distortion.
The multiple input non-linear filter 550 receives the transmission signal x(t), the echo signal e(t) and the digital receive signal r″(t). The non-linear filtering can include linear combinations of known regressors. Coefficients of the non-linear filter can be determined by correlating an output of a receiver ADC 230 with an output of a corresponding regressor within the filter. That is, as will be shown, each coefficient of the filter corresponds with a particular regressor. The adaptively determined value of the coefficient can be calculated by correlating the output of the corresponding regressor and the digitally sampled receive signal.
Pre-Compensator
One example of a pre-compensator 605 as shown includes non-linear filters 615, 617 providing pre-compensation signals for both the transmit signal and the echo signal. The pre-compensation signal are summed with the transmission signal and the echo signal, before the transmission signal and the echo signal are summed with the receive signal. The non-linear signal components of the transmission signal and the echo signal are subtracted from the transmission signal and the echo signal, before the transmission signal and the echo signal are summed with the receive signal. That is, the non-linear signal components of the transmission signal and the echo signal are pre-compensated.
The non-linear filters 615, 617 can include the same structure as the previously shown non-linear filters. A single input non-linear filter will be described in greater detail. The methods of selecting regressors, and adaptively determining filter coefficients is also the same as the previously described non-linear filters.
One example of the method of linearizing the received signal includes setting the non-linear replica signal equal to a sum of approximations of the non-linear transmission signal components that are created in the transceiver by the transmit signal DAC, and/or non-linear signal components that are generated in the transceiver by an estimated echo signal DAC, and imposed on the receive signal. Another example of the method of linearizing the received signal includes setting the non-linear replica signal equal to a sum of approximations of the non-linear transmission signal components that are generated in the transceiver by the transmit signal DAC, and non-linear signal components that are generated in the transceiver by the receive signal. Another example of the method of linearizing the received signal includes setting the non-linear replica signal equal to a sum of approximations of the non-linear transmission signal components that are generated in the transceiver by the transmit signal DAC, non-linear signal components that are generated in the transceiver by the estimated echo signal DAC, and non-linear signal components that are generated by the receive signal.
This implementation includes a delay 910. The input x[n] and a delayed version of x[n] (x[n-1]) are connected to multiple regressors 920, 922, 924. Outputs of the regressors are multiplied by coefficients C[0], C[1] . . . C[k-1] and summed, generating a filter output Z[n]. Only one delay is shown in
Regressors
The term regressor is commonly used in the field of statistics. An implementation of a regressor can include implementing or selecting a function. Exemplary functions that can be selected include polynomials, sinusoidal functions, splines, and wavelets. The function selection for the non-linear filters used for reducing non-linearities of receive signals is based upon prior knowledge of the non-linearities. More specifically, the function selection is based upon prior knowledge regarding the transmission DAC and/or the echo DAC non-linearities, and/or receive signal non-linearities. Once a function has been selected, the selected function can be fine-tuned based upon the prior knowledge of the DAC non-linearities.
When in operation, the regressors are pre-selected and do not change. The coefficients adaptively change as will be described.
Adaptive Determination of Coefficient Values
One example of a method of adaptively determining values of the coefficients C[0], C[1] . . . C[k-1] includes correlating the digital receive signal from the receiver ADC with outputs of the regressors 920, 922, 924. For example, the value of the coefficient C[0] is determined by correlating the digital receive signal with the output of the regressor 920, the value of the coefficient C[1] is determined by correlating the digital receive signal with output of the regressor 922 and the value of the coefficient C[k-1] is determined by correlating the analog digital signal with the output of the regressor 924.
The output of the receiver ADC (such as receiver ADC 230 includes a stream of data that can be correlated with each of the outputs of the regressors. The coefficients can be determined from the correlations.
As previously described, the regressors are previously selected. The coefficients are adjusted so that the linear combinations of the outputs of the regressors is a close approximation of the observed non-linearities as observed at the outputs of the receiver ADC 230.
An Nth input section receives an Nth input xN[n]. The Nth input xN[n] and a delayed version of xN[n] are connected to a set of multiple regressors 1050, 1052, 1054. Outputs of the sets of regressors are multiplied by coefficients CN[0], CN[1] . . . CN[k-1] through multipliers 1060, 1062, 1064 and summed at a summer 1070 generating an Nth section output WN[n].
One example of a method of adaptively determining values of the coefficients C1[0], C1[1] . . . C1[k-1] for the first section includes correlating the digital receive signal from the receiver ADC with outputs of the regressors 1020, 1022, 1024. For example, the value of the coefficient C1[0] is determined by correlating the digital receive signal with the output of the regressor 1020, the value of the coefficient C1[1] is determined by correlating the digital receive signal with output of the regressor 1022 and the value of the coefficient C1[k-1] is determined by correlating the analog digital signal with the output of the regressor 1024.
One example of a method of adaptively determining values of the coefficients CN[0], CN[1] . . . CN[k-1] for the Nth section includes correlating the digital receive signal from the receiver ADC with outputs of the regressors 1050, 1052, 1054. For example, the value of the coefficient CN[0] is determined by correlating the digital receive signal with the output of the regressor 1050, the value of the coefficient C1[1] is determined by correlating the digital receive signal with output of the regressor 1052 and the value of the coefficient CN[k-1] is determined by correlating the analog digital signal with the output of the regressor 1054.
The multiple inputs to the non-linear filter can be any combination of the transmit signal, the echo signal and the receive signal. The non-linear filter configuration shown in
A Network of Devices
Although specific embodiments of the invention have been described and illustrated, the invention is not to be limited to the specific forms or arrangements of parts so described and illustrated. The invention is limited only by the appended claims.
Number | Name | Date | Kind |
---|---|---|---|
5166924 | Moose | Nov 1992 | A |
5280473 | Rushing et al. | Jan 1994 | A |
5590205 | Popovich | Dec 1996 | A |
5633863 | Gysel et al. | May 1997 | A |
5787113 | Chow et al. | Jul 1998 | A |
6813311 | Pal et al. | Nov 2004 | B1 |
6856191 | Bartuni | Feb 2005 | B2 |
6934387 | Kim | Aug 2005 | B1 |
6946983 | Andersson et al. | Sep 2005 | B2 |
7027592 | Straussnigg et al. | Apr 2006 | B1 |
20010038674 | Trans | Nov 2001 | A1 |
20020008578 | Wright | Jan 2002 | A1 |
20020065633 | Levin | May 2002 | A1 |
20030054788 | Sugar et al. | Mar 2003 | A1 |
20030206579 | Bryant | Nov 2003 | A1 |
20040044489 | Jones et al. | Mar 2004 | A1 |
20040095994 | Dowling | May 2004 | A1 |
20040213170 | Bremer | Oct 2004 | A1 |
20050008084 | Zhidkov | Jan 2005 | A1 |
20050123004 | Lechleider | Jun 2005 | A1 |
20050187759 | Malah et al. | Aug 2005 | A1 |
20050207346 | Chu et al. | Sep 2005 | A1 |
20050220185 | Dowling | Oct 2005 | A1 |
20050243946 | Chung et al. | Nov 2005 | A1 |
20060039550 | Chadha et al. | Feb 2006 | A1 |
20070190952 | Waheed et al. | Aug 2007 | A1 |
20070260455 | Akamine et al. | Nov 2007 | A1 |
20090222226 | Baraniuk et al. | Sep 2009 | A1 |
Number | Date | Country |
---|---|---|
WO0052844 | Sep 2000 | WO |
Number | Date | Country | |
---|---|---|---|
20070211794 A1 | Sep 2007 | US |