Not Applicable.
The present invention relates generally to timing recovery and more specifically to a method and apparatus for performing timing recovery of oversampled 802.11b baseband signals.
Wireless local area networks have become prevalent with the standardization of the IEEE 802.11 family of protocols. In particular, the IEEE 802.11b standard, offering data rates up to 11 Mbps, has been widely adopted by numerous access points and network interface card manufacturers. These networks use the wireless medium in the 2.4 GHz ISM (Industrial, Scientific and Medical) band as the transmission channel.
Spread spectrum communications provide efficient utilization of signal bandwidth and power. An advantage of a spread spectrum communication system is its ability to reject interference whether it is unintentional interference by another user simultaneously attempting to transmit through the channel, or the intentional interference by a hostile transmitter attempting to jam the transmission. Spread spectrum communications also provide excellent narrow-band noise rejection characteristics.
Spread spectrum communication systems spread a baseband digital signal with a periodic binary sequence, noise-like in nature, called a pseudo random noise (PN) sequence. Through this spreading technique, the relatively narrow-band digital baseband signal is made to appear as wide band noise. Furthermore, the receiver knows the pseudo random noise sequence used by the transmitter in order to properly recover the transmitted signal. Any other additional receiver listening on the channel will not be capable of recovering the transmitted message without the correct pseudo random noise sequence, hence the secure nature of this type of communication.
The same pseudo random noise sequence used to de-spread the received signal, that is, convert the wide band signal to a narrow band signal, will spread any narrow band noise, such as jamming signals, to a wide band signal. In effect, this makes narrow band noise appear as wideband noise at the receiver input, improving performance.
In a Spread Spectrum communications system, a pseudo random noise sequence is used to convert a narrow-band digital signal to a larger bandwidth signal, referred to as a spread signal. To transmit the spread signal through a channel such as air, the signal is modulated and mixed with a sinusoidal carrier to translate it to the appropriate frequency band.
Synchronization is of concern with the recovery of the baseband digital signal. For proper operation, a spread spectrum system requires that the locally generated pseudo random noise sequence used to de-spread the received signal be synchronized to the pseudo random noise sequence used to spread the transmitted signal.
When a locally generated pseudo random noise sequence is compared to an interval of the received signal, a measure of correlation is used to determine when the two signals are satisfactorily aligned. After alignment, the remaining received signal is then correlated with the pseudo random noise sequence and the received signal is properly de-spread using a matched filter and the baseband digital data is properly recovered.
The single sided spectral occupancy of a baseband 802.11b compliant signal is restricted to within 11 MHz. Traditional 802.11b compliant systems have used a 22 MHz (2×) sampling rate to capture the baseband spectrum using an Analog to Digital Converter (ADC). The output of the ADC is passed on to a digital baseband processor that implements timing recovery, equalization and demodulation.
Traditionally, 802.11b receivers have been narrow band. This implies that the RF (Radio Frequency) frontend and the ADC grab only as much spectrum as is required to process a single 802.11b channel. The evolution of higher sampling rate and higher precision ADCs has enabled a new class of digital baseband architectures that can process multiple channels simultaneously. A problem associated with such architectures is how to determine optimum sampling points in the received baseband signal.
An apparatus for performing digital timing recovery includes a demultiplexor receiving a four times oversampled baseband signal and providing four downsampled phases at respective outputs. Each output is processed by a correlation detector which computes a peak sum signal for each downsampled phase. The peak sum signals are processed to produce a best phase select output signal. The best phase select output signal is used to select the optimum sampling phase. Symbol timing is then determined based on the relative peak offset in the best downsampled phase.
A method for performing digital timing recovery includes demultiplexing a baseband signal to provide multiple downsampled phases. Processing of the downsampled phases is performed to compute a peak sum signal for each downsampled phase. The peak sum signals are analyzed to provide a best phase select signal and this signal is used to select the optimum sampling phase. Symbol timing is then determined based on the relative peak offset in the best downsampled phase.
The invention will be more fully understood from the following detailed description taken in conjunction with the accompanying drawings, in which:
Referring to
In this architecture 88 Mhz of the spectrum at 2.4 GHz is captured by the RF frontend 10 and is digitized using a 176 Msamples/s ADC 20. This architecture can accommodate three 802.11b channels separated by 25 MHz in center frequency. The digital baseband processor 30 uses digital mixers (32, 32′ and 32″) along with channel extraction and rate conversion filters (34, 34′, and 34″) to extract and demodulate the individual channels which are then passed to demodulators (36, 36′ and 36″) for decoding. Such wideband systems can substantially improve bandwidth utilization (providing higher throughputs) and reduce system cost through integration. Similar wideband architectures can also be used in a software radio that grabs large chunks of spectrum and processes it digitally based on different protocols and standards.
One of the advantages of a wideband architecture is the oversampled nature of the component narrowband signals. Oversampling is used to reduce noise and improve the performance of the receiver. Timing recovery is one of the most critical functions performed by a communications receiver. A timing recovery circuit essentially determines the optimum sampling points in the received baseband signal. The timing recovery circuit is also used to detect symbol and frame boundaries in the receiver.
Two chip rate correlators are used to match filter the received stream (1 chip apart) based on the spreading code. The analog domain correlation output is shown by the continuous curves 102, 104 and 106 of
Adjusting sampling points in the analog domain is non-trivial. Classical narrow band systems accomplished this using digital interpolation between the early and late sampling points. With oversampled digital streams, sampling point adjustments need not involve interpolation and are done by choosing just the right sampling phase. In 802.11b compliant packets, timing recovery can be preformed during the preamble. An 802.11b preamble consists of 144 scrambled ones (long preamble) or 56 scrambled zeroes (short preamble) (See section 18.2.2 of IEEE Std 802.11b-1999). In both cases, the preamble bits are Differential Binary Phase Shi Key (D-BPSK) modulated and spread using an 11 chip Barker code. The Barker correlator 200 used at the receiver is shown in
Referring now to
Referring now to
The probability of random data producing N consecutive peaks with the same relative offset is 1/11N−1. To prevent a particular phase from getting off to an unfair start with a random initial peak, asserting CTL, and ending up with the maximum peak sum, peak accumulation is only done within a peak count window. The accumulation process in each phase is started only when the peak counter crosses a minimum number of peaks. If the minimum peak count is Nmin the probability of an unfair start is 1/11N
An example of the method and apparatus of the present invention in action is shown in
Oversampling by more than 4× the chip rate is usually overkill. The marginal performance improvement from higher sampling does not justify the linear increase in hardware/computational resources. For the wideband architecture shown in
A flow chart of the presently disclosed method is depicted in
Alternatively, the processing and decision blocks represent steps performed by functionally equivalent circuits such as a digital signal processor circuit or an application specific integrated circuit (ASIC). The flow diagrams do not depict the syntax of any particular programming language. Rather, the flow diagrams illustrate the functional information one of ordinary skill in the art requires to fabricate circuits or to generate computer software to perform the processing required in accordance with the present invention. It should be noted that many routine program elements, such as initialization of loops and variables and the use of temporary variables are not shown. It will be appreciated by those of ordinary skill in the art that unless otherwise indicated herein, the particular sequence of steps described is illustrative only and can be varied without departing from the spirit of the invention. Thus, unless otherwise stated the steps described below are unordered meaning that, when possible, the steps can be performed in any convenient or desirable order.
The method starts and step 710 is executed. Step 710 discloses the step of receiving a signal spectrum. An 88 MHz signal spectrum is captured from a 2.4 GHz spectrum.
Step 720 recites converting the analog baseband signal into a digital signal stream. This is preferably accomplished by using a Digital-to-Analog converter, and most preferably with a 176 Msamples/second Digital-to-Analog converter.
Step 730 states that a plurality of channels are extracted and demodulated from the digital signal. In a preferred embodiment three channels are provided, however, any number of channels could be sued. The channel signal is oversampled. Oversampling is used to reduce noise and to improve the performance of the receiver.
Step 740 recites that the received channel signal is demultiplexed to provide a plurality of downsampled phases. While four downsampled phases are shown and discussed, it should be appreciated that any number of downsampled phases could be used.
Step 750 discloses that the downsampled phases are provided to respective correlation peak detectors. Each phase is provided with it's own correlation peak detector. Each correlation peak detector provides a peak sum signal and a coarse timing lock signal.
Step 760 states that a peak sum signal is provided for each downsampled phase. Since four phases are being analyzed, there will be a corresponding number of peak sum signals.
Step 770 discloses that a best phase signal is provided from analysis of the peak sum signals, as well as the coarse timing lock signals.
Step 780 recites that a best downsampled phase is provided by way of the best phase signal.
Step 790 discloses that symbol timing is determined from the best downsampled phase. This determination is based on the relative offset of peaks in the chosen phase. The position of the peaks corresponds to the last chip of each preamble symbol. The process ends after this step.
A digital baseband timing recovery method and apparatus for 802.11b Wireless Local Area Network (WLAN) receivers has been described. The method and apparatus are suitable for oversampled physical layer streams. The method and apparatus exploits the Barker sequence present in the packet's preamble and uses a multiple sampling phase peak search criterion that is robust in the presence of significant multipath fading and frequency offsets. The search criterion is scalable and programmable.
Having described preferred embodiments of the invention it will now become apparent to those of ordinary skill in the art that other embodiments incorporating these concepts may be used. Accordingly, it is submitted that that the invention should not be limited to the described embodiments but rather should be limited only by the spirit and scope of the appended claims. All publications and references cited herein are expressly incorporated herein by reference in their entirety.
This application claims priority under 35 U.S.C. §119 (e) to provisional application Ser. No. 60/402,803 filed Aug. 12, 2002, the disclosure of which is hereby incorporated by reference.
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Number | Date | Country | |
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60402803 | Aug 2002 | US |