The invention discloses a transform domain quadratic
estimation method uniting weighted threshold de-noising and balanced decision. The method comprises the following steps: step 1), uniting a superimposed training sequence and a
harmonic sequence and generating a sending sequence; step 2), in an OFDM (
Orthogonal Frequency Division Multiplexing)
baseband system, through an
estimation method of an LS channel of the superimposed training sequence, obtaining coarse
estimation of a
channel frequency response; step 3), performing amplitude
phase compensation on the coarse estimation of the
channel frequency response, adding a
window function with a width of M and performing DCT (
Discrete Cosine Transformation) of an M point, performing low-pass filtering,
time domain de-noising and sequence
zero padding extension
processing on the obtained sequence, performing N point IDCT (Inverse
Discrete Cosine Transform), window removing and secondary amplitude
phase compensation on an extended N
point sequence, as the following formula, and obtaining the following formula; step 4), performing balanced decision on the obtained result and obtaining the following formula, repeating M point DCT, low-pass filtering,
time domain de-noising, interpolation
zero padding and N point IDCT, and obtaining a final estimation of a
frequency domain response, as the following formula. The transform domain quadratic estimation method uniting the weighted threshold de-noising and the balanced decision provided by the invention eliminates the influence of a data sequence and the training sequence on the channel estimation performance, improves the performance of the existing LS (
Least Squares) channel estimation, and has lower implementation complexity.