Title :
Statistical spatial resolution limit for ultrawideband MIMO noise radar
Author :
Xiaoli Zhou ; Hongqiang Wang ; Yongqiang Cheng ; Yuliang Qin
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fDate :
June 29 2014-July 2 2014
Abstract :
In this paper, the spatial resolution limit for ultrawideband (UWB) MIMO noise radar is presented based on the statistical resolution theory. The signal model of UWB MIMO noise radar is established, and the resolution of two closely spaced targets is modeled as a binary hypothesis test. The statistical spatial resolution limit (SSRL) for UWB MIMO noise radar is derived based on the generalized likelihood ratio test (GLRT) with the constraints on the probabilities of false alarm and detection. The effects of detection parameters, transmit waveforms, array geometry, signal-to-noise ratio (SNR) and parameters of target on the SSRL are analyzed. Compared with the conventional resolution defined by ambiguity function, the SSRL reflects the practical resolution ability of radar and can provide an optimization criterion for radar system design.
Keywords :
MIMO radar; radar detection; radar resolution; statistical analysis; ultra wideband radar; GLRT; SNR; SSRL; UWB MIMO noise radar; ambiguity function; array geometry; binary hypothesis test; closely-spaced target resolution; detection parameters; detection probability; false alarm probability; generalized likelihood ratio test; optimization criterion; practical resolution ability; radar system design; signal-to-noise ratio; statistical resolution theory; statistical spatial resolution limit; transmit waveforms; ultrawideband MIMO noise radar; MIMO; Manganese; Noise; Signal resolution; Spatial resolution; Ultra wideband radar; UWB MIMO noise radar; generalized likelihood ratio test; hypothesis test; statistical spatial resolution limit;
Conference_Titel :
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location :
Gold Coast, VIC
DOI :
10.1109/SSP.2014.6884670