TY - JOUR
T1 - Lower Bounds on the Localization Errors of a Moving Source Observed by a Passive Array
AU - Schultheiss, Peter M.
AU - Weinstein, Ehud
PY - 1981
Y1 - 1981
N2 - The Cram․․er-Rao inequality is used to set absolute bounds on the accuracy of location and velocity estimates obtainable by observing the signal radiated from a moving acoustic source at an array of stationary sensors. The source radiates a zero mean Gaussian random process and the observations are made in a background of spatially incoherent Gaussian noise. Results are first obtained for the error covariance matrix of a set of parameters characterizing the time variable differential delays observed at various sensor pairs. These are then translated into bounds on the error covariance matrix of a set of parameters describing source location and track. Numerical results are presented for the specific case of a source moving in a straight line course at constant velocity.
AB - The Cram․․er-Rao inequality is used to set absolute bounds on the accuracy of location and velocity estimates obtainable by observing the signal radiated from a moving acoustic source at an array of stationary sensors. The source radiates a zero mean Gaussian random process and the observations are made in a background of spatially incoherent Gaussian noise. Results are first obtained for the error covariance matrix of a set of parameters characterizing the time variable differential delays observed at various sensor pairs. These are then translated into bounds on the error covariance matrix of a set of parameters describing source location and track. Numerical results are presented for the specific case of a source moving in a straight line course at constant velocity.
UR - http://www.scopus.com/inward/record.url?scp=0019581490&partnerID=8YFLogxK
U2 - 10.1109/TASSP.1981.1163622
DO - 10.1109/TASSP.1981.1163622
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AN - SCOPUS:0019581490
SN - 0096-3518
VL - 29
SP - 600
EP - 607
JO - IEEE Transactions on Acoustics, Speech, and Signal Processing
JF - IEEE Transactions on Acoustics, Speech, and Signal Processing
IS - 3
ER -