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| Complex Baseband Blind Deconvolution of Single Band-Pass Input |
| Yah She-feng;Ma Yuan-liang |
| Institute of Acoustics Eng.; Northwestern Polytechnical Univ.; Xi’an 710072; China |
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Abstract A novel blind deconvolution algorithm based on autocorrelation function of band-pass signal is proposed, only single input is required. The input data is transformed to its complex baseband through demodulation and decimation processing. For the baseband signal, a blind deconvolution algorithm is deduced, which minimizes the squared sum of the real part of the signal autocorrelation function over a region excluding a region near the zero delay point. Computer simulations show that the algorithm works well. It is widely applicable for bandpass Gaussian as well as non-Gaussian signals.
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Received: 09 December 2002
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2004, Vol. 26 
