Title :
Identifiability analysis of local oscillator phase self-calibration based on hybrid Cramér-Rao Bound in MIMO radar
Author :
Peilin Sun ; Jun Tang ; Shuang Wan ; Ning Zhang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
The identifiability of local oscillator phase perturbation self-calibration in multiple-input multiple-output (MIMO) radar is analyzed in this paper. There are four cases, the absolute phase perturbation (APP) and phase perturbation difference (PPD) in MIMO radar with widely separated antennas (SMIMOR), the APP and PPD in co-located MIMO radar (CMIMOR), discussed in this paper. The hybrid Cramér-Rao bound (HCRB) matrix of phase perturbation is derived and used to analyze the identifiability of phase perturbation. Under the assumptions of approximately orthogonal waveforms and a common geometry of targets and sensors, it is proved that only the PPD in CMIMOR is identifiable. The closed-form HCRB of PPD is obtained and verified by numerical simulations. In addition, the problem in this paper is a special case in which HCRB is asymptotically tight for nonlinear observation models containing unknown deterministic and random parameters with known prior probability distribution.
Keywords :
MIMO radar; matrix algebra; oscillators; perturbation techniques; radar antennas; statistical distributions; APP; CMIMOR; HCRB matrix; PPD; SMIMOR; absolute phase perturbation; colocated MIMO radar; hybrid Cramér-Rao bound matrix; identifiability analysis; local oscillator phase self-calibration; multiple-input multiple-output radar; nonlinear observation models; numerical simulations; orthogonal waveforms; phase perturbation difference; prior probability distribution; widely separated antennas; Estimation; MIMO radar; Receivers; Sensors; Signal to noise ratio; Transmitters; Vectors; Identifiability; hybrid Cramér-Rao bound (HCRB); multiple-input multiple-output (MIMO) radar; phase perturbation;
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
DOI :
10.1109/ACSSC.2013.6810318