An AMUSE-based Approach for Detection and Blind Separation of Multi-component Radar Signals

Author

Jun, Zhu ; Bin, Tang ; Bing, Chen

Author_Institution

UESTC, Chengdu

fYear

2007

Abstract

The separation of multi-component radar signals is the key problem in the field of radar countermeasure etc. In the real time-vary signal scenario with short data acquired, an AMUSE-based second order statistics approach for effective separation of multi-component radar signals is presented using an effective blind signal processing model built for the intercepted radar signals. The efficacy of this approach is verified by simulation results.

Keywords

blind source separation; radar signal processing; signal detection; time-varying channels; AMUSE-based approach; blind separation; blind signal processing; intercepted radar signals; multicomponent radar signals; radar countermeasure; real time-vary signal; second order statistics; short data acquired; signal detection; Instruments; Radar antennas; Radar countermeasures; Radar detection; Radar measurements; Radar signal processing; Receiving antennas; Signal detection; Signal processing; Signal processing algorithms; AMUSE algorithm; Multi-component radar signal; blind signal separation; detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-1136-8

Electronic_ISBN

978-1-4244-1136-8

Type

conf

DOI

10.1109/ICEMI.2007.4350862

Filename

4350862