SVD reconstruction algorithm and determination of signal number by frequency domain information

Author

Fangyuan Nan

Author_Institution

Dept. of Math., Florida State Univ., Tallahassee, FL, USA

Volume

1

fYear

1995

fDate

18-23 June 1995

Firstpage

428

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 1995. AP-S. Digest

Conference_Location

Newport Beach, CA, USA

Print_ISBN

0-7803-2719-5

Type

conf

DOI

10.1109/APS.1995.530050

Filename

530050