Method and apparatus for receiving coded signals with the aid of channel state information

1. A method for receiving coded signals with the aid of channel state information (CSI), comprising:

performing channel estimation to obtain a channel frequency response CFR estimation vector, ĥ=[ĥ 0 , ĥ 1 , . . . , ĥ N−1 ] T ;

computing a squared magnitude of the CFR estimation, |ĥ k | 2 , on each subcarrier k=0, 1, . . . , N−1, and obtaining a normalization factor α by averaging the squared magnitudes of CFR estimations on all N subcarriers;

finding a norm-shift operand m satisfying the condition that α 0 =2 m is a power of 2 number closest to the normalization factor α;

performing a CSI-aided one-tap channel equalization on an output signal vector y=[y 0 , y 1 , . . . , y N−1 ] T which is generated from a discrete Fourier transform (DFT) processor, for achieving an equalized signal vector z=[z 0 , z 1 , . . . z N−1 ] T by using the norm-shift operand m;

performing constellation demapping; and

performing channel decoding.

2. The method as claimed in claim 1 , wherein real and imaginary parts of the equalized signal, z k , on subcarrier k, are respectively achieved by right shifting m bits of real and imaginary parts of y k (ĥ k )*, where k=0, 1, . . . , N−1, y k is the output signal vector on subcarrier k of the DFT processor, and (•)* denotes complex conjugate.

3. The method as claimed in claim 1 , further comprising: performing symbol de-interleaving on the real and imaginary parts of the equalized signal vector before the step of performing constellation demapping.

4. The method as claimed in claim 1 , further comprising: obtaining a weighting factor vector by right shifting m bits of the squared magnitude of the CFR estimation vector before the step of performing constellation demapping.

5. The method as claimed in claim 4 , further comprising: performing symbol de-interleaving on the real and imaginary parts of the equalized signal vector and the weighting factor vector before the step of performing constellation demapping.

6. The method as claimed in claim 5 , wherein during the step of performing symbol de-interleaving on the real and imaginary parts of the equalized signal vector and the weighting factor vector, the weighting factor vector is combined with the real part and/or the imaginary part of the equalized signal vector.

7. The method as claimed in claim 4 , further comprising: multiplying M decision boundary values, g 1 , g 2 , . . . , g M of the equalized signal vector by the weighting factor vector before the step of performing constellation demapping to obtain M weighted decision boundary values.

8. The method as claimed in claim 7 , wherein during the step of performing constellation demapping, the equalized signal vector undergoes bit-wise soft-decision constellation demapping using the M weighted decision boundary values; and, subsequently, during the step of performing channel decoding, soft-decision channel decoding.

9. The method as claimed in claim 1 , further comprising: performing bit-wise de-interleaving between the two steps of performing constellation demapping and channel decoding.

10. An apparatus for receiving coded signals with the aid of channel state information (CSI), comprising:

a channel frequency response (CFR) estimator for performing channel estimation to achieve a CFR estimation vector, ĥ=[ĥ 0 , ĥ 1 , . . . , ĥ N−1 ] T ;

a computation and shift module for obtaining a normalization factor α by averaging squared magnitudes of the CFR estimations, |ĥ| 2 , k=0, 1, . . . , N−1, on all N subcarriers, and further for yielding a norm-shift operand m satisfying the condition that α 0 =2 m is a power of 2 number closest to the normalization factor α;

a discrete Fourier transform (DFT) processor for performing a DFT on a received coded signal and generating an output signal vector, y=[y 0 , y 1 , . . . , y N−1 ] T ;

a CSI-aided one-tap equalizer for equalizing the output signal vector, y=[y 0 , y 1 , . . . , y N−1 ] T , by using the norm-shift operand m and the CFR estimations, resulting in an equalized signal vector, z=[z 0 , z 1 , . . . , z N−1 ] T ;

a constellation demapper for performing constellation demapping; and

a channel decoder for performing channel decoding.

11. The apparatus as claimed in claim 10 , wherein the CSI-aided one-tap equalizer achieves real and imaginary parts of the equalized signal, z k , on subcarrier k, by right shifting m bits of real and imaginary parts of y k (ĥ k )*, respectively, where k=0, 1, . . . , N−1, y k is the output signal on subcarrier k of the DFT processor, and (•)* denotes complex conjugate.

12. The apparatus as claimed in claim 10 , wherein the computation and shift module is further arranged to obtain a weighting factor vector by right shifting m bits of the squared magnitude of the CFR estimation vector.

13. The apparatus as claimed in claim 12 , wherein the constellation demapper uses the weighted decision boundary values, resultant from multiplying decision boundary values of the equalized signal vector by the weighting factor vector.

14. The apparatus as claimed in claim 10 , further comprising: a symbol de-interleaver, located between the CSI-aided one-tap equalizer and the constellation demapper, for performing symbol de-interleaving.

15. The apparatus as claimed in claim 10 , further comprising: a bit-wise de-interleaver, located between the constellation demapper and the channel decoder, for performing bit-wise de-interleavering.

16. The apparatus as claimed in claim 10 , wherein the channel decoder performs soft-decision channel decoding.