DocumentCode :
2433747
Title :
Bounds on uncalibrated array signal processing
Author :
Sadler, Brian M. ; Kozick, Richard J.
Author_Institution :
Army Res. Lab., Adelphi, MD, USA
fYear :
2000
fDate :
2000
Firstpage :
73
Lastpage :
77
Abstract :
Deterministic constrained Cramer-Rao bounds (CRBs) are developed for general linear forms in additive white Gaussian noise. The linear form describes a variety of array processing cases, including narrow band sources with a calibrated array, the uncalibrated array cases of instantaneous linear mixing and convolutive mixing, and space-time coding scenarios with multiple transmit and receive antennas. We employ the constrained CRB formulation of Stoica and Ng (IEEE Sig. Proc. Letters, vol.5, no.7, pp.177-179, July 1998), allowing the incorporation of side information into the bounds. This provides a framework for a large variety of scenarios, including semi-blind, constant modulus, known moments or cumulants, and others. The CRBs establish bounds on blind estimation of sources using an uncalibrated array, and facilitates comparison of calibrated and uncalibrated arrays when side information is exploited
Keywords :
AWGN; antenna arrays; array signal processing; convolution; parameter estimation; receiving antennas; transmitting antennas; additive white Gaussian noise; array processing cases; blind source estimation; calibrated array; constant modulus; convolutive mixing; cumulants; deterministic constrained Cramer-Rao bounds; general linear forms; instantaneous linear mixing; known moments; multiple receive antennas; multiple transmit antennas; narrow band sources; semi-blind; side information; space-time coding scenarios; uncalibrated array signal processing; Additive noise; Additive white noise; Array signal processing; Laboratories; Linear antenna arrays; Narrowband; Phased arrays; Receiving antennas; Sensor arrays; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
Type :
conf
DOI :
10.1109/SSAP.2000.870084
Filename :
870084
Link To Document :
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