TY - JOUR
T1 - Performance of direction-finding systems with sensor gain and phase uncertainties
AU - Friedlander, Benjamin
AU - Weiss, Anthony J.
PY - 1993/3
Y1 - 1993/3
N2 - In this paper we study the performance of direction-finding systems which attempt to estimate unknown array parameters (such as sensor gains and phases) in addition to the estimation of the directions of arrival (DOA), as a way of performing array self-calibration. We develop compact closed form expressions for the Cramér-Rao bound associated with the joint estimation of DOAs, gains, phases, and the signal covariance matrix. By evaluating the Cramér-Rao bound for selected cases we gain some insight into the performance of direction-finding systems in the presence of gain and phase uncertainties.
AB - In this paper we study the performance of direction-finding systems which attempt to estimate unknown array parameters (such as sensor gains and phases) in addition to the estimation of the directions of arrival (DOA), as a way of performing array self-calibration. We develop compact closed form expressions for the Cramér-Rao bound associated with the joint estimation of DOAs, gains, phases, and the signal covariance matrix. By evaluating the Cramér-Rao bound for selected cases we gain some insight into the performance of direction-finding systems in the presence of gain and phase uncertainties.
UR - http://www.scopus.com/inward/record.url?scp=0027222510&partnerID=8YFLogxK
U2 - 10.1007/BF01183145
DO - 10.1007/BF01183145
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AN - SCOPUS:0027222510
SN - 0278-081X
VL - 12
SP - 3
EP - 35
JO - Circuits, Systems, and Signal Processing
JF - Circuits, Systems, and Signal Processing
IS - 1
ER -