Title :
Comparing Multistatic with Monostatic Super-Resolution Array Processing Techniques: Detection of Random Targets
Author :
Ho, Minhtri ; Lev-Ari, Hanoch
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA
Abstract :
Conventional MUSIC (multiple signal classification) method, which is a well-known super-resolution technique that employs a monostatic configuration, degrades severely when the multiple targets are deterministic because the rank of the covariance matrix collapses to the value of one regardless of the number of targets. FRM (frequency response matrix), with its multistatic configuration, is also a super-resolution technique and can complement MUSIC in the target randomness spectrum. This paper demonstrates that conventional MUSIC performs better for targets with strongly random (complex) amplitudes and FRM performs better for target with weakly random amplitudes (best for deterministic amplitudes)
Keywords :
array signal processing; covariance matrices; signal classification; signal detection; signal resolution; covariance matrix; frequency response matrix; monostatic super-resolution array processing; multiple signal classification method; multistatic super-resolution array processing; random targets detection; Acoustic sensors; Array signal processing; Covariance matrix; Degradation; Multiple signal classification; Sensor arrays; Sensor fusion; Signal processing; Signal resolution; Spatial resolution;
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
DOI :
10.1109/SAM.2006.1706124