Title :
Non-coherent MIMO radar for target estimation: More antennas means better performance
Author :
He, Qian ; Blum, Rick S. ; Haimovich, Alexander M.
Author_Institution :
EE Dept., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
This paper presents an analysis of the joint estimation of target location and velocity using multiple-input multiple-output (MIMO) radar. A theorem is formulated on the asymptotic properties of the maximum likelihood (ML) estimate. The joint Cramer-Rao bound (CRB) is calculated for a Rayleigh fluctuating extended target. The mean square error (MSE) of the ML estimate is analyzed for orthogonal Gaussian pulses. It is shown that the signal to noise ratio (SNR) boundary between low and high MSE values can be lowered by increasing the number of antennas. The non-coherent MIMO radar ambiguity function (AF) is developed and illustrated by examples. It is shown that the product of the number of transmit and receive antennas can control the sidelobes level of the AF.
Keywords :
MIMO communication; maximum likelihood estimation; mean square error methods; radar tracking; receiving antennas; target tracking; transmitting antennas; MSE; Rayleigh fluctuation; asymptotic properties; joint Cramer-Rao bound estimation; maximum likelihood estimation; mean square error method; multiple-input multiple-output radar; noncoherent MIMO radar ambiguity function; orthogonal Gaussian pulses; receive antennas; signal-to-noise ratio; target estimation; transmit antennas; Displays; Doppler radar; Error analysis; Helium; MIMO; Maximum likelihood estimation; Mean square error methods; Radar antennas; Signal to noise ratio; System analysis and design;
Conference_Titel :
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-2733-8
Electronic_ISBN :
978-1-4244-2734-5
DOI :
10.1109/CISS.2009.5054700
