Title :
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
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;
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
DOI :
10.1109/ICEMI.2007.4350862
