The field of the present invention is communication systems, and particularly, digital filters, partial response equalizers, and coherent receiver devices and methods.
The ever increasing bandwidth demand has been driving communication systems to higher capacities. Therefore, there is a strong motivation to enhance spectral efficiency to increase the total capacity. From a spectral-multiplexing point of view, there are several approaches for improving the spectral efficiency given a specified modulation format. One straightforward approach is to realize bandwidth-constraint on individual multiplexed channels by narrowband filtering. By this means, the spectrum is squeezed and high spectral-efficiency can be achieved. However, the inter-symbol interference (ISI)-free condition cannot be maintained since the equivalent channel in the presence of narrowband filtering would have strong ISI with a long memory. Moreover, the ISI pattern (i.e. the channel impulse response) is commonly unknown and unconditioned, which necessitates complicated channel estimations. Partial-response equalization may be a good solution for this kind of system. A partial-response equalizer is capable of shaping the unknown channel impulse response into a known partial-response class (e.g. duobinary). Slight performance loss may occur as long as the channel response is similar to the target partial-response (D. D. Falconer and F. R. Magee, Jr., “Adaptive channel memory truncation for maximum-likelihood sequence estimation,” Bell System Tech. J., vol. 52, no, 9, pp. 1541-1562, November 1973.). Unlike the widely-studied full-response equalizers, the reported partial-response equalizers are almost in the decision-directed or decision-feedback modes. The devise of feedforward partial-response equalizers may be desirable in particular for coherent optical communication systems. Fields of the present invention are not limited to optical communication systems.
Recently, the coherent detection coupled with digital signal processing (DSP) has been well recognized as the crucial technologies for 100 G and beyond optical communication systems, as described by P. J. Winzer in “Beyond 100 G Ethernet,” IEEE Commun. Mag., vol. 48, no. 7, pp. 26-30, 2010, and S. J, Savory in “Digital Coherent Optical Receivers: Algorithms and Subsystems,” IEEE J. Sel. Top. Quantum Electron., vol. 16, no. 5, pp. 1164-1179, September/October 2010, in a digital optical coherent receiver, most of the linear transmission impairments can be compensated for by the digital linear equalizers. The linear equalizers can provide a convenient and low-complexity way to perform polarization demultiplexing and to compensate for several time-varying impairments in an adaptive manner, as described by S. J. Savory In “Digital Coherent Optical Receivers: Algorithms and Subsystems,” IEEE J. Sel. Top. Quantum Electron., vol. 16, no. 5, pp. 1164-1179, September/October 2010. The ever-reported diverse linear equalizers are almost full-response ones that are suitable to small-ISI channels. A linear equalizer yields good performance on the channels with well-behaved spectral characteristics (i.e. small ISI), whereas it may not be a desirable option in the presence of severe ISI due to the noise enhancement effect as described by J. G. Proakis in “Digital Communications, Fourth Edition”, New York: McGraw-Hill, 2001. In addition, a number of other full-response DSPs have also been developed in the optical communication community, it is strongly desired to preserve these full-response equalizers and other corresponding DSPs without modifications. The present invention can address the above issues.
Another concern is about the implementation complexity in practice. Among various partial response classes, duobinary is attractive because it can in theory tailor the spectrum into a Nyquist band with one-symbol memory. Duobinay response is described here and in other parts as an example for convenience of understanding. Any other partial response classes can also be used, for example, class 2, class 3, modified duobinary, extended class 4, and class 6 etc., according to the specific channel Impulse responses in the systems to be investigated. Due to the short memory of the target duobinary response, the MLSD complexity is dramatically reduced with respect to “Transmission of 96×100-Gb/s bandwidth-constrained PDM-RZ-QPSK channels with 300% spectral efficiency over 10610 km and 400% spectral efficiency over 4370 km,” J. Lightw. Technol., vol. 29, no. 4, pp. 491-498, February 2011 by J.-X. Cal, C. R. Davidson, D. G. Foursa, A. J. Lucero, O. V. Sinkin, W. W. Patterson, A. N. Pilipetskii, G. Mohs, and N. S. Bergano, “20 Tbit/s capacity transmission over 6,860 km,” in Proc. OFC2011, March 2011, Paper PDPB4” by J.-X. Cal, Y. Cal, C. R. Davidson, A. Lucero, H. Zhang, D. G. Foursa, O. V. Sinkin, W. W. Patterson, A. Pilipetskii, G. Mohs, and N. S. Bergano, and “Spectrum-narrowing tolerant 171-Gbit/s PDM-16QAM transmission over 1,200 km using maximum likelihood sequence estimation,” in Proc. ECOC 2011, September 2011, Paper We. 10. P1.73.
Aspects of the present invention Include devices and methods for receiving signals in communication systems. In one aspect, a partial response equalizer includes a full response linear equalizing device for equalizing a received signal; and a partial response post filter for post filtering the equalized signal.
In another aspect of the present invention, a receiver front end converts a received partial response optical signal to a partial response digital signal. An equalizing device equalizes the pre-filtered full response digital signal. A full response carrier recovery device performs carrier recovery of the signal equalized by the equalizing device. A post-filter filters the signal having underbone carrier recovery by the full response carrier recovery device.
a) and (b) are illustrations of trellises for M-ary PAM for M=2 and 4.
Aspects of the present invention relate to digital filters, partial response equalization, digital coherent receiver devices, and digital coherent receiver methods. They protect coherent receiving methods for polarization-multiplexed systems, mode-multiplexed systems, space-multiplexed systems, and the like. These aspects decrease complexity from existing technologies while providing the same, or better, level of performance. Aspects allow for the use of conventional DSP algorithms originally developed for full-response signals. Also, aspects of the invention provide a simple but high-sensitivity coherent receiving method for bandwidth-constraint signals. Further, aspects of the invention are powerful in spectrally-efficient WDM optical communication systems.
Aspects of the present invention may be implemented in various scenarios, three of which are:
One specific realization relates to improving spectral-efficiency in wavelength-division multiplexing systems by using low-complexity duobinary shaping and detection, as described and incorporated by reference in “Approaching Nyquist Limit in Wavelength-Division Multiplexing Systems by Low-Complexity Duobinary Shaping and Detection” by Jianjun Yu and Jianqiang Li.
There are a few techniques for detecting an information signal with controlled ISI or a known memory as described by J. G. Proakis in “Digital Communications, Fourth Edition”. One is the symbol-by-symbol suboptimum detector that is relatively simple to implement. This method ignores the inherent memory, thereby suffering from a degraded SNR sensitivity. Another method is MLSD which bases its decisions on the observation of a symbol sequence over multiple successive time intervals as described by J. G. Proakis in “Digital Communications, Fourth Edition”, H. Kobayashi in “Correlative level coding and maximum likelihood decoding,” IEEE Trans. Info. Theory, vol. IT-17, no. 5, pp. 586-94, September 1971, and G. D. Forney, Jr., in “Maximum likelihood sequence estimation of digital sequences in the presence of intersymbol Interference,” IEEE Trans. Info. Theory, vol. IT-18, no. 3, pp. 363-378, May 1972. MLSD makes use of the known memory and minimizes the probability of error. The complexity of MLSD is associated with the involved memory length. For example, if the channel response is shaped to a duobinary pattern that contains a one-symbol memory, the use of MLSD does not impose much computational effort. However if the channel response is shaped to a different pattern that contains a two-symbol memory, for example, then the use of MLSD may impose more computational effort.
The MLSD can be implemented on the in-phase and quadrature paths of a QAM signal on each of which the signal has an M-ary pulse amplitude modulation (PAM) format. As one type of the channels with memory, the duo-binary shaped channel can be modeled as a finite-state machine that can be represented by a state transition diagram (i.e. a trellis).
It should be understood that the methods and devices of the present Invention may be executed employing machines and apparatus including simple and complex computers. Moreover, the architecture and methods described above can be stored, in part or in full, on forms of machine-readable media. For example, the operations of the present invention could be stored on machine-readable media, such as magnetic disks or optical disks, which are accessible via a disk drive (or computer-readable medium drive). Alternatively, the logic to perform the operations as discussed above, could be implemented in additional computer and/or machine readable media, such as discrete hardware components as large-scale integrated circuits (LSI's), application-specific Integrated circuits (ASIC's), firmware such as electrically erasable programmable read-only only memory (EEPROM's); and the like. Implementations of certain embodiments may further take the form of machine-implemented, including web-implemented, computer software.
While aspects of this invention have been shown and described, it will be apparent to those skilled in the art that many more modifications are possible without departing from the inventive concepts herein. The invention, therefore, is not to be restricted except in the spirit of the following claims.
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/US2012/070533 | 12/19/2012 | WO | 00 | 6/30/2014 |
Number | Date | Country | |
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61581946 | Dec 2011 | US |