Title :
SVD reconstruction algorithm and determination of signal number by frequency domain information
Author_Institution :
Dept. of Math., Florida State Univ., Tallahassee, FL, USA
Abstract :
By using signal theory and noise subspace fitting in radar array signal processing, the paper first derives a singular value decomposition algorithm for reconstructing the true waveform scattered by underground object. More importantly, based on this reconstruction algorithm, a quantitative criterion for determining the signal number present in the waveform is given from the frequency domain information provided by the emitted waveform.
Keywords :
array signal processing; frequency-domain analysis; radar cross-sections; radar signal processing; signal reconstruction; singular value decomposition; SVD reconstruction algorithm; emitted waveform; frequency domain information; noise subspace fitting; radar array signal processing; signal number; signal theory; singular value decomposition algorithm; underground object; waveform reconstruction; Array signal processing; Buried object detection; Frequency domain analysis; Radar scattering; Radar signal processing; Radar theory; Reconstruction algorithms; Signal processing; Signal processing algorithms; Singular value decomposition;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1995. AP-S. Digest
Conference_Location :
Newport Beach, CA, USA
Print_ISBN :
0-7803-2719-5
DOI :
10.1109/APS.1995.530050
