Method and apparatus for soft symbol generation in a communication receiver

Patent metadata

Field	Value
Publication number	US-9768989-B2
Application number	US-201313888976-A
Country	US
Kind code	B2
Filing date	May 7, 2013
Priority date	May 7, 2013
Publication date	Sep 19, 2017
Grant date	Sep 19, 2017

Abstract

A simplified but accurate soft-symbol determination process represents one of the advantages provided by the example embodiments disclosed herein. In this regard, a mapping function “maps” symbol estimates to corresponding soft symbol values, which may be used in interference mitigation, joint detection processing, etc. Whether the mapping function is implemented on-the-fly as a live calculation or is embodied in a look-up table, it advantageously operates on the symbol estimates directly, rather than requiring the derivation of corresponding soft bit values or the like, and it maps each symbol estimate to its “expected value,” i.e., the weighted sum of constellation point probabilities. Moreover, the mapping function may be changed dynamically—e.g., by using different look-up tables—to account for changing reception conditions and/or different modulation schemes or other signal parameters associated with the symbols being estimated and mapped to soft symbol values.

First claim

What is claimed is:

1. A method of symbol estimation in a wireless apparatus comprising:
receiving a communication signal comprising first and second signal components;
generating first symbol estimates corresponding to first symbols conveyed in the first signal component, each first symbol estimate representing a symbol component and an error component;
obtaining soft symbol values from the first symbol estimates via a mapping function that maps each first symbol estimate to a corresponding soft symbol value that represents a probability-weighted summation of all constellation points in a defined modulation constellation assumed for the first symbols, wherein the probability weighting of each constellation point in the summation is a function of the first symbol estimate relative to the constellation point and an assumed error distribution for the error components of the first symbol estimates; and
estimating second symbols as a function of the soft symbol values, where the second symbols are conveyed in the second signal component of the communication signal.

2. The method of claim 1 , wherein estimating the second symbols as a function of the soft symbol values comprises using the soft symbol values to mitigate interference in the second symbols arising from the first symbols.

3. The method of claim 2 , wherein using the soft symbol values to mitigate interference in the second symbols comprises estimating, as a function of the soft symbol values, contributions of the first symbols to the communication signal, and subtracting the estimated contributions from corresponding samples of the communication signal before or in conjunction with demodulating or decoding the communication signal with respect to the second symbols.

4. The method of claim 1 , wherein estimating the second symbols as a function of the soft symbol values comprises using the soft symbol values to generate joint detection metrics for detecting the second symbols.

5. The method of claim 1 , wherein the probability weighting for each constellation point is a probability value indicating the probability that the constellation point represents the transmitted value of the corresponding first symbol, and wherein the mapping function incorporates one or more regularization terms that are computed as a function of a Signal to Noise Ratio (SNR) estimated for the first symbol estimates and are operative to reduce probability weighting errors arising from differences between the assumed error distribution and the actual error distribution of the error components of the first symbols.

6. The method of claim 5 , wherein the one or more regularization terms comprise one or more terms that are operative within the mapping function to:
limit the minimum and/or maximum probability value used for probability weighting;
limit the minimum assumed variance of the error components of the first symbol estimates;
limit a maximum allowable distance between the first symbol estimate and the constellation points in the defined modulation constellation; and
scale up an error variance estimate associated with the error components of the first symbol estimates.

7. The method of claim 1 , wherein the mapping function is implemented via a Look-up Table (LUT) that is indexed into as a function of the first symbol estimates and that maps the first symbol estimates to corresponding pre-computed soft symbol values.

8. The method of claim 7 , wherein the LUT comprises one among two or more LUTs, each LUT corresponding to a different assumed error distribution for the error components of the first symbol estimates, and wherein the method further comprises selecting which LUT to use, based on which assumed error distribution is used.

9. The method of claim 1 , further comprising changing the mapping function used to obtain the soft symbol values, based on at least one of: the modulation scheme estimated or assumed for the first symbols, and a symbol Signal-to-Noise Ratio (SNR) estimated for the first symbols.

10. The method of claim 1 , further comprising applying the mapping function separately to the real and imaginary components of each first symbol estimate.

11. The method of claim 10 , wherein the defined modulation constellation is represented as one or more Pulse Amplitude Modulation (PAM) constellations having nominal magnitude values for the real and imaginary parts of the first symbols, so that obtaining soft symbol values from the first symbol estimates comprises, for each first symbol estimate, obtaining PAM symbol estimates corresponding to the real and imaginary parts of each first symbol estimate.

12. The method of claim 1 , wherein the mapping function assumes the error components of the first symbol estimates to be one or more interfering signals with known modulations plus additive Gaussian noise.

13. The method of claim 12 , wherein the mapping function is selected based on estimating the error distribution parameters of the first signal component.

14. The method of claim 1 , wherein the assumed error distribution is a Gaussian distribution.

15. The method of claim 1 , wherein the assumed error distribution is a non-Gaussian distribution.

16. A wireless apparatus comprising:
receiver circuitry configured to output a communication signal corresponding to an antenna-received communication signal and comprising first and second signal components;
a processing circuit operatively associated with the receiver circuitry and configured to:
generate first symbol estimates corresponding to first symbols conveyed in the first signal component, each first symbol estimate representing a symbol component and an error component;
obtain soft symbol values from the first symbol estimates via a mapping function that maps each first symbol estimate to a corresponding soft symbol value that represents a probability-weighted summation of all constellation points in a defined modulation constellation assumed for the first symbols, wherein the probability weighting of each constellation point in the summation is a function of the first symbol estimate relative to the constellation point and an assumed error distribution for the error components of the first symbol estimates; and
estimate second symbols as a function of the soft symbol values, where the second symbols are conveyed in the second signal component of the communication signal.

17. The wireless apparatus of claim 16 , wherein the processing circuit is configured to estimate the second symbols as a function of the soft symbol values by using the soft symbol values to mitigate interference in the second symbols arising from the first symbols.

18. The wireless apparatus of claim 17 , wherein the processing circuit is configured to use the soft symbol values to mitigate interference in the second symbols by estimating, as a function of the soft symbol values, contributions of the first symbols to the communication signal, and subtracting the estimated contributions from corresponding samples of the communication signal before or in conjunction with demodulating or decoding the communication signal with respect to the second symbols.

19. The wireless apparatus of claim 16 , wherein the processing circuit is configured to estimate the second symbols as a function of the soft symbol values by using the soft symbol values to generate joint detection metrics for detecting the second symbols.

20. The wireless apparatus of claim 16 , wherein the probability weighting for each constellation point is a probability value indicating the p

Assignees

• Ericsson Telefon Ab L M
• ERICSSON TELEFON AB L M (publ)

Inventors

• Lincoln Bo
• Nordström Fredrik
• Reial Andres

Classifications

• H04L25/067 Primary

  providing soft decisions, i.e. decisions together with an estimate of reliability (H04L25/068 and H04L25/069 take precedence; sequence estimation techniques H04L25/03178) · CPC title

• H04L27/38

  Demodulator circuits; Receiver circuits · CPC title