US2009190645A1PendingUtilityA1

Advanced receiver with sliding window block linear equalizer

Assignee: INTERDIGITAL TECH CORPPriority: Feb 14, 2005Filed: Apr 7, 2009Published: Jul 30, 2009
Est. expiryFeb 14, 2025(expired)· nominal 20-yr term from priority
H04L 1/00H04L 25/03159H04B 17/336
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Claims

Abstract

A receiver or an integrated circuit (IC) incorporated therein includes a fast Fourier transform (FFT)-based (or hybrid FFT-based) sliding window block level equalizer (BLE) for generating equalized samples. The BLE includes a noise power estimator, first and second channel estimators, an FFT-based chip level equalizer (CLEQ) and a channel monitor unit. The noise power estimator generates a noise power estimate based on two diverse sample data streams. The channel estimators generate respective channel estimates based on the sample data streams. The channel monitor unit generates a first channel monitor signal including truncated channel estimate vectors based on the channel estimates, and a second channel monitor signal which indicates an approximate rate of change of the truncated channel estimate vectors. The FFT-based CLEQ generates the equalized samples based on the noise power estimate, one-block samples of the first and second sample data streams, the channel estimates and the monitor signals.

Claims

exact text as granted — not AI-modified
1 . A method for generating equalized samples in a receiver, the method comprising:
 receiving a first and second sample data stream;   receiving even and odd samples associated with the first sample data stream;   receiving even and odd samples associated with the second sample data stream;   generating a noise power estimate based on odd and even samples associated with each of the first and second sample data streams; and   generating equalized samples based on the noise power estimate and one-block samples of the first and second sample data streams.   
   
   
       2 . The method of  claim 1  further comprising:
 generating a first channel estimate based on the first sample data stream; and   generating a second channel estimate based on the second sample data stream, wherein equalized samples are further based on the first and second channel estimates.   
   
   
       3 . The method of  claim 2  further comprising:
 generating a first channel monitor signal including truncated channel estimate vectors based on the first and second channel estimates, and a second channel monitor signal which indicates an approximate rate of change of the truncated channel estimate vectors included in the first channel monitor signal.   
   
   
       4 . A method for generating equalized samples in a receiver comprising:
 generating a noise power estimate based on odd and even samples associated with a first sample data stream and a second sample data stream;   generating an even sample channel estimate based on the even samples in the first sample data stream;   generating an odd sample channel estimate based on the odd samples in the second sample data stream;   generating equalized samples comprising:
 receiving the even sample channel estimate; 
 receiving the odd sample channel estimate; 
 receiving the noise power estimate; 
 outputting a first hybrid fast Fourier transform (FFT) output signal; and 
 outputting a second hybrid FFT output signal; 
 generating final tap filter coefficients associated with the even samples; 
 generating final tap filter coefficients associated with the odd samples; 
 performing time domain equalization on the even samples using the final tap filter coefficients associated with the even samples to generate a first equalized signal; 
 performing time domain equalization on the odd samples using the final tap filter coefficients associated with the odd samples to generate a second equalized signal; and 
   adding the first and second equalized signals together to generate the equalized samples.   
   
   
       5 . The method of  claim 4  further comprising:
 performing at least one of truncation, noise filtering and tap coefficient reordering.   
   
   
       6 . The method of  claim 4  further comprising:
 generating a first zero-padded signal by performing zero padding on the even sample channel estimate;   generating a second zero-padded signal by performing zero padding on the odd sample channel estimate;   generating a first FFT-processed signal by performing an FFT operation on the first zero-padded signal;   generating a second FFT-processed signal by performing an FFT operation on the second zero-padded signal;   generating a first complex conjugate signal by performing a complex conjugate operation on the first FFT-processed signal;   generating a second complex conjugate signal by performing a complex conjugate operation on the second FFT-processed signal;   generating a first product result signal by multiplying the first FFT-processed signal with the first complex conjugate signal;   generating a second product result signal by multiplying the second FFT-processed signal with the second complex conjugate signal;   generating a first summed signal by adding the first and second product result signals;   generating a second summed signal by adding the first summed signal and the noise power estimate to generate a second summed signal;   generating a first quotient result signal by dividing the first complex conjugate signal by the second summed signal;   generating a second quotient result signal by dividing the second complex conjugate signal by the second summed signal;   generating the first hybrid FFT output signal by performing an IFFT operation on the first quotient result signal; and   generating the second hybrid FFT output signal by performing an IFFT operation on the second quotient result signal.

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