DocumentCode :
179505
Title :
MIMO radar performance analysis under K-distributed clutter
Author :
Xin Zhang ; El korso, Mohammed Nabil ; Pesavento, Marius
Author_Institution :
Commun. Syst. Group, Tech. Univ. Darmstadt, Darmstadt, Germany
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
5287
Lastpage :
5291
Abstract :
The resolvability of two closely-spaced signals is an important performance measure for parametric estimation problems. In this paper we investigate the so-called resolution limit (RL) in a MIMO radar context, i.e., the minimum angular separation required to resolve two closely-spaced targets. Due to the limited number of elementary scatterers, the Gaussian modeling of the clutter is inappropriate. In our analysis, we consider a K-distributed clutter which is a well-established approximation of the real clutter. Finally, our RL´s expression reveals a number of insightful properties that are discussed in detail and, numerical examples are provided to corroborate the theoretical analysis.
Keywords :
Gaussian distribution; MIMO radar; approximation theory; radar clutter; Gaussian modeling; K-distributed clutter; MIMO radar performance analysis; approximation; elementary scatterers; minimum angular separation; parametric estimation problems; resolution limit; two closely-spaced signals; two closely-spaced targets; Clutter; MIMO radar; Signal resolution; Speckle; Vectors; Cramér-Rao bound; K-distributed clutter; MIMO radar; performance analysis; resolution limit;
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.2014.6854612
Filename :
6854612
Link To Document :
بازگشت