Title :
Target localization sensitivity using MIMO radar in the presence of antenna position uncertainties
Author :
Bin Sun ; Xufeng Zhang ; Dongping Liao ; Xiang Li
Author_Institution :
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
In the context of widely distributed multiple-input-multiple-output (MIMO) radar, target localization accuracy is very sensitive to the knowledge of radar antenna positions. However, perfect knowledge of antenna positions is difficult to acquire even after calibration. This paper aims at investigating the impact of receiver antenna position uncertainties (APUs) on target localization performance. We model the APUs as random variables and derive the mean square error (MSE) as well as Cramér-Rao lower bound (CRLB) of location estimate. Simulations are provided to compare the obtained MSE and CRLB with those in the absence of receiver APUs cases in different antenna geometries. The results show that the target localization sensitivity (TLS) of MIMO radar is dependent not only on the bistatic geometry, but also on the APU power level as well as the signal-to-noise ratio (SNR).
Keywords :
MIMO radar; estimation theory; geometry; mean square error methods; radar antennas; receiving antennas; APU power level; CRLB; Cramér-Rao lower bound; MSE; TLS; antenna geometries; bistatic geometry; distributed MIMO radar; distributed multiple-input-multiple-output radar; mean square error; random variables; receiver antenna position uncertainties; signal-to-noise ratio; target localization sensitivity; Geometry; Radar; Radar antennas; Receivers; Signal to noise ratio; Vectors; Cramér-Rao lower bound (CRLB); Target localization; antenna position uncertainty (APU);
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th
Conference_Location :
A Coruna
DOI :
10.1109/SAM.2014.6882454