Interference is cancelled from a baseband signal by synthesizing interference from estimated symbols in interfering subchannels. The estimated symbols are hard-coded, soft weighted, or zeroed, depending on the value of an estimated pre-processed signal-to-interference-and-noise ratio (SINR) in each
Interference is cancelled from a baseband signal by synthesizing interference from estimated symbols in interfering subchannels. The estimated symbols are hard-coded, soft weighted, or zeroed, depending on the value of an estimated pre-processed signal-to-interference-and-noise ratio (SINR) in each subchannel in order to maximize a postprocessed SINR. The estimated pre-processed SINR is obtained from averages of estimated symbol energies and estimated noise variances, or from related statistical procedures.
대표청구항▼
1. A receiver for receiving a multipath signal, the receiver comprising: a signal-to-interference-and-noise ratio (SINR) estimation module in the receiver, the SINR estimation module configured to produce a plurality of pre-processed SINR estimates corresponding to a plurality of pre-processed symbo
1. A receiver for receiving a multipath signal, the receiver comprising: a signal-to-interference-and-noise ratio (SINR) estimation module in the receiver, the SINR estimation module configured to produce a plurality of pre-processed SINR estimates corresponding to a plurality of pre-processed symbol estimates from the multipath signal; anda thresholding module configured to compare each of the plurality of pre-processed SINR estimates to a predetermined threshold to determine whether to employ a weighted soft decision or a hard decision, wherein the weighted soft decision is determined according to a companding function that compresses at least one of the plurality of pre-processed SINR estimates. 2. The receiver of claim 1, wherein the SINR estimation module is configured to produce the plurality of pre-processed SINR estimates by averaging symbol amplitudes over at least one of a set of parameters, the set of parameters including time and a plurality of subchannels. 3. The receiver of claim 1, wherein the thresholding module is configured to determine an estimated SINR below which weighted soft decisions provide better performance than hard decisions, and above which hard decisions provide better performance than weighted soft decisions. 4. The receiver of claim 1, wherein the thresholding module is configured to determine a cutoff SINR, below which corresponding pre-processed symbol estimates are set to zero. 5. The receiver of claim 1, wherein the thresholding module is configured to determine an estimation strategy based on whether subchannel constellations are known. 6. The receiver recited in claim 1, further comprising a channel emulator configured to perform channel emulation. 7. The receiver of claim 6, further comprising: a companding module configured to generate the weighted soft decision for each of the plurality of pre-processed symbol estimates; anda canceller configured to produce at least one interference-cancelled signal from an output of the channel emulator. 8. A method of receiving a multipath signal in a receiver, the method comprising: providing for producing in the receiver a plurality of pre-processed signal-to-interference-and-noise ratio (SINR) estimates corresponding to a plurality of pre-processed symbol estimates from the multipath signal;providing for comparing each of the plurality of pre-processed SINR estimates to a predetermined threshold for determining whether to employ a weighted soft decision or a hard decision, wherein the weighted soft decision is determined according to a companding function that compresses at least one of the plurality of pre-processed SINR estimates; andproviding for generating the weighted soft decision or the hard decision for each of the plurality of pre-processed symbol estimates to produce at least one interference-symbol estimate. 9. The method of claim 8, wherein providing for producing a plurality of pre-processed SINR estimates is configured for producing the plurality of pre-processed SINR estimates by averaging symbol walshes over at least one of a set of parameters, the set of parameters including time and a plurality of subchannels. 10. The method of claim 8, wherein providing for comparing is configured for determining an SINR below which weighted soft decisions provide better performance than hard decisions, and above which hard decisions provide better performance than weighted soft decisions. 11. The method of claim 8, wherein providing for comparing is configured for determining a second cutoff SINR, below which corresponding pre-processed symbol estimates are set to zero. 12. The method of claim 8, wherein providing for comparing is configured for determining an estimation strategy based on whether subchannel constellations are known. 13. The method of claim 8, further comprising providing for producing at least one interference-cancelled signal from a received baseband signal and the at least one interference-symbol estimate. 14. A chipset configured to receive a multipath signal, the chipset comprising: a signal-to-interference-and-noise ratio (SINR) estimation module in the chipset, the SINR estimation module configured to produce a plurality of pre-processed SINR estimates corresponding to a plurality of pre-processed symbol estimates from the multipath signal; anda thresholding module configured to compare each of the plurality of pre-processed SINR estimates to a predetermined threshold to determine whether to employ a weighted soft decision or a hard decision, wherein the weighted soft decision is determined according to a companding function that compresses at least one of the plurality of pre-processed SINR estimates. 15. The chipset of claim 14, wherein the SINR estimation module is configured to produce the plurality of pre-processed SINR estimates by averaging symbol amplitudes over at least one of a set of parameters, the set of parameters including time and a plurality of subchannels. 16. The chipset of claim 14, wherein the thresholding module is configured to determine an SINR below which weighted soft decisions provide better performance than hard decisions, and above which hard decisions provide better performance than weighted soft decisions. 17. The chipset of claim 14, wherein the thresholding module is configured to determine a cutoff SINR, below which corresponding pre-processed symbol estimates are set to zero. 18. The chipset of claim 14, wherein the thresholding module is configured to determine an estimation strategy based on whether subchannel constellations are known. 19. The chipset of claim 14, further comprising a channel emulator configured to perform channel emulation. 20. The chipset of claim 19, further comprising: a companding module configured to generate the weighted soft decision for each of the plurality of pre-processed symbol estimates; anda canceller configured to produce at least one interference-cancelled signal from an output of the channel emulator.
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