A Study on Complex-signal Deconvolution Based on Channel Equalization Function
YU Wen-zhen · Modern Radar · 2011
In the research for radar channel-equalization methods,there exists a complex-signal deconvolution in the course of seeking equalization functions in time domain.In this paper,a complex-signal deconvolution is studied after the equalization functions and their ill-posed problems are introduced.Moreover,the complex-signal deconvolution is solved in virtue of circular-convolution deconvolution algorithm(CCDA) and pseudo-inverse-matrix-based deconvolution algorithm(PIDA),and a corresponding algorithm—complex-signal deconvolution algorithm(CSDA) is brought forward.The simulations about finding equalization functions and taking channel equalization are experimented by utilizing CSDA.The results show that the CSDA can find the equalization function in time domain effectively,in which the CCDA-based CSDA has the character with real time,while the PIDA-based CSDA has the advantages with good popularity and more accuracy,and can avoid the ill-posed problem appearing in searching equalization function in frequency domain.