Title :
Estimation of range-Doppler radar images
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
It is shown that most accurate reconstruction of a range-Doppler target density that can be computed from N waveforms and their echoes is obtained by transmitting the singular functions corresponding to the N largest singular values of two kernels derived from the target density. The singular functions are valid wavelets that obey an additional orthogonality constraint in the frequency domain. Using this result, a solution is discussed for the problem of choosing a set of N waveforms to reconstruct with high accuracy an arbitrary unknown target range-Doppler density function
Keywords :
Doppler radar; radar imaging; radar signal processing; density function reconstruction; frequency domain; image estimation; orthogonality constraint; range-Doppler radar images; singular functions; target density; wavelets; Colored noise; Density functional theory; Frequency domain analysis; Image reconstruction; Kernel; Libraries; Radar imaging; Radar theory; Wavelet domain; White noise;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393671