Title :
Transmit signal design for optimal deconvolution
Author :
Tan, Hao ; Zheng, Yibin
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
This paper solves the problem of designing successive transmit pulses to minimize the mean squared error of deconvolution in colored noise. The power spectral densities of the signal and noise are known a priori. In the special case of white noise, the analytical solution can be interpreted as the "water-filling" principle for the distribution of transmitted spectral energy. Numerical simulation of a simple example with exponentially correlated target signal and white noise illustrates the benefits of using adaptively designed transmit signals.
Keywords :
Wiener filters; adaptive signal processing; deconvolution; least mean squares methods; minimisation; white noise; MMSE deconvolution; Wiener filter; adaptively designed transmit signals; colored noise; estimation error minimization; exponentially correlated target signal; mean squared error minimization; optimal deconvolution; signal/noise power spectral densities; successive transmit pulses; transmit signal design; transmitted spectral energy distribution; water-filling principle; white noise; Convolution; Deconvolution; Kernel; Numerical simulation; Radar applications; Radar imaging; Signal design; Sonar; White noise; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326317