Compressed spectrum Sensing in Cognitive Radar systems

Author

Stinco, Pietro ; Greco, Maria ; Gini, F. ; La Manna, Mario

Author_Institution

Dept. of “Ing. dell´Inf.”, Univ. of Pisa, Pisa, Italy

fYear

2014

fDate

4-9 May 2014

Firstpage

81

Lastpage

85

Abstract

Compressed Sensing is a new signal processing methodology that allows to reconstruct sparse signals using a relatively small number of samples in the form of random projections. These samples are collected at a much lower rate than Nyquist rate. This paper focuses on the application of Compressed Sensing in Cognitive Radar systems that use wide operating frequency bandwidths for spectrum sensing and sharing. Compressed sensing can provide a significant reduction in acquisition time reducing the cost for high resolution analog-to-digital converters with large dynamic range, and high speed signal processors.

Keywords

analogue-digital conversion; cognitive radio; compressed sensing; radar signal processing; radio spectrum management; signal detection; signal reconstruction; acquisition time reduction; cognitive radar systems; compressed spectrum sensing; cost reduction; high resolution analog-to-digital converters; high speed signal processors; signal processing methodology; sparse signal reconstruction; wide operating frequency bandwidths; Compressed sensing; Radar; Sensors; Signal to noise ratio; Vectors; Analog-to-Digital Converter; Cognitive Radar; Compressed Sensing; Spectrum Sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICASSP.2014.6853562

Filename

6853562