System and method for iterative compensation for linear and nonlinear interference in system employing FTN symbol transmission rates

Patent metadata

Field	Value
Publication number	US-10020965-B2
Application number	US-201715655479-A
Country	US
Kind code	B2
Filing date	Jul 20, 2017
Priority date	Jul 8, 2013
Publication date	Jul 10, 2018
Grant date	Jul 10, 2018

Abstract

An approach for increasing transmission throughput of a non-linear wireless channel, and efficient decoding of the transmitted signal via a simplified receiver, is provided. A signal reflects a source signal, and includes linear inter-symbol interference based on a faster-than-Nyquist signaling rate and a tight frequency roll-off, and non-linear interference based on high-power amplification for transmission over the wireless channel. The signal is received over a non-linear wireless channel, and is processed via a plurality of decoding iterations. A set of soft information of a current decoding iteration is generated based on a current estimate of the source signal and a final set of soft information from a previous decoding iteration. The current estimate of the source signal is based on an estimate of the linear ISI and the non-linear interference, which is based on the final set of soft information from the previous decoding iteration.

First claim

The invention claimed is:

1. An apparatus comprising:
a receiver configured to process a signal received over a non-linear wireless channel, wherein the received signal reflects a plurality of source signals, each comprising a plurality of source symbols, and includes linear and non-linear interference effects induced based on a faster-than-Nyquist (FTN) signaling rate applied to each of the plurality of source signals and high-power amplification and filtering for transmission over the non-linear wireless channel;
wherein the receiver is configured to estimate the plurality of source symbols of each of one or more of the plurality of source signals of the received signal based on a plurality of outer-loop decoding iterations, wherein a current outer-loop decoding iteration is employed to determine an improved estimate of the plurality of source symbols based on a set of soft information of the current outer-loop decoding iteration, and the improved estimate of the plurality of source symbols is fed to a next outer-loop decoding iteration to further improve the estimate of the plurality of source symbols, and wherein the receiver comprises:
a likelihood metric processor configured to generate the set of soft information of the current outer-loop decoding iteration based on a current estimate of the source symbols and a final set of soft information from a previous outer-loop decoding iteration;
wherein the current estimate of the source symbols is based on a previous estimate of the linear and non-linear interference effects exhibited by the received signal, which is based on the final set of soft information from the previous outer-loop decoding iteration.

2. The apparatus of claim 1 , wherein the likelihood metric processor comprises a log-likelihood ratio (LLR) processor, and the set of soft information of the current outer-loop decoding iteration comprises a set of extrinsic log-likelihood ratios (LLRs), generated by the LLR processor based on the current estimate of the source symbols, and a set of extrinsic LLRs from the previous outer-loop decoding iteration.

3. The apparatus of claim 1 , wherein the receiver further comprises:
a mapping processor configured to bit-to-symbol map the final set of soft information from the previous outer-loop decoding iteration;
a filter configured to process the bit-to-symbol mapped information generated by the mapper module to generate the previous estimate of the linear and non-linear interference effects; and
an arithmetic processor configured to generate the current estimate of the source symbols by subtracting the previous estimate of the linear and non-linear interference effects generated by the filter module from the received signal.

4. The apparatus of claim 3 , wherein the filter comprises a Volterra filter configured to generate the estimate of the linear and non-linear interference effects, wherein the Volterra filter comprises:
a first order component configured to generate an estimate of the first order interference, which reflects the linear interference effects; and
a third order component configured to generate an estimate of the third order interference, which reflects the non-linear interference effects.

5. The apparatus of claim 1 , wherein the final set of soft information from the previous outer-loop decoding iteration is generated based on a plurality of inner-loop likelihood metric computation iterations, wherein:
for each inner-loop likelihood metric computation iteration (except for a first iteration), the likelihood metric computing processor is configured to generate an updated set of soft information based on a set of soft information of a previous inner-loop likelihood metric computation iteration; and
the final set of soft information is based on the updated set of soft information generated by the likelihood metric computing processor as a result of a final inner-loop likelihood metric computation iteration.

6. The apparatus of claim 5 , wherein the receiver further comprises:
a decoder configured to decode, for each inner-loop likelihood metric computation iteration, the updated set of soft information generated by the likelihood metric computing processor;
wherein the final set of soft information is based on the decoded information generated by the decoder as a result of the final inner-loop likelihood metric computation iteration.

7. The apparatus of claim 6 , wherein the receiver further comprises:
a deinterleaver configured to deinterleave, for each inner-loop likelihood metric computation iteration, the updated set of soft information generated by the likelihood metric computing processor prior to being decoded by the decoder; and
an interleaver configured to interleave, for each inner-loop likelihood metric computation iteration, the decoded information generated by the decoder to generate the set of soft information of the previous inner-loop likelihood metric computation iteration;
wherein the final set of soft information is comprised of the interleaved information generated by the interleaver as a result of the final inner-loop likelihood metric computation iteration.

8. The apparatus of claim 7 , wherein the receiver further comprises:
a mapping processor configured to bit-to-symbol map the final set of soft information;
a filter configured to process the bit-to-symbol mapped information generated by the mapping processor to generate the previous estimate of the linear and non-linear interference effects; and
an arithmetic processor configured to generate the current estimate of the source symbols by subtracting the previous estimate of the linear and non-linear interference effects generated by the filter from the received signal.

9. The apparatus of claim 8 , wherein the filter comprises a Volterra filter configured to generate the estimate of the linear and non-linear interference effects, wherein the Volterra filter comprises:
a first order component configured to generate an estimate of the first order interference, which reflects the linear interference effects; and
a third order component configured to generate an estimate of the third order interference, which reflects the non-linear interference effects.

10. The apparatus of claim 9 , wherein the likelihood metric computing processor comprises a log-likelihood ratio (LLR) processor, and the set of soft information of the current outer-loop decoding iteration comprises a set of extrinsic log-likelihood ratios (LLRs), generated by the LLR computation module based on the current estimate of the source symbols, and a set of extrinsic LLRs from the previous outer-loop decoding iteration.

11. A method comprising:
processing a signal received over a non-linear wireless channel, wherein the received signal reflects a plurality of source signals, each comprising a plurality of source symbols, and includes linear and non-linear interference effects induced based on a faster-than-Nyquist (FTN) signaling rate applied to each of the plurality of source signals and high-power amplification and filtering for transmission over the non-linear wireless channel;
wherein the processing of the received signal comprises estimating the plurality of source symbols of each of one or more of the plurality of source signals of the received signal based on a plurality of outer-loop decoding iterations, wherein a current outer-loop decoding iteration is employed to determine an improved estimate of the plurality of source symbols based on a set of soft information of the current outer-loop decoding iteration, and the improved estimate of the plurality of source symbols is fed to a next outer-loop decoding iteration to further improve the estimate of the plurality

Assignees

• Hughes Network Systems Llc

Inventors

• Beidas Bassel
• Seshadri Rohit Iyer
• Eroz Mustafa
• Lee Lin-Nan

Classifications

• H04L25/03834

  using pulse shaping · CPC title

• H04L25/03006 Primary

  Arrangements for removing intersymbol interference · CPC title

• H04L1/005

  Iterative decoding, including iteration between signal detection and decoding operation · CPC title

• H04L25/03165

  using neural networks · CPC title

• H04L25/497

  by correlative coding, e.g. partial response coding or echo modulation coding {transmitters and receivers for partial response systems (transversal equalizers at the transmitter end H04L25/03343)} · CPC title