Paper Info
Title
Non-Coherent Mimo Radar For Target Estimation: More Antennas Means Better Performance
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.
Year
DOI
Venue
2009
10.1109/CISS.2009.5054700
2009 43RD ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS, VOLS 1 AND 2
Keywords
Field
DocType
radar,system analysis and design,maximum likelihood estimation,radar tracking,mean square error,cramer rao bound,signal to noise ratio,mse,mimo,helium,maximum likelihood,displays,ambiguity function,antennas
Radar,Ambiguity function,Doppler radar,Mathematical optimization,Radar tracker,Signal-to-noise ratio,MIMO,Algorithm,Mean squared error,Gaussian,Statistics,Mathematics
Conference
Citations 
PageRank 
References 
7
0.98
6
Authors
3
Name
Order
Citations
PageRank
Qian He123928.57
Rick S. Blum22322266.38
Alexander M. Haimovich361869.28