TY - JOUR
T1 - Cramér-Rao bounds for estimating range, velocity, and direction with an active array
AU - Dogandžić, Aleksandar
AU - Nehorai, Arye
N1 - Funding Information:
Manuscript received March 6, 2000; revised February 12, 2001. This work was supported by the Air Force Office of Scientific Research under Grants F49620-99-1-0067 and F49620-00-1-0083, the National Science Foundation under Grant MIP-9615590, and the Office of Naval Research under Grant N00014-98-1-0542. The associate editor coordinating the review of this paper and approving it for publication was Prof. Jian Li.
PY - 2001/6
Y1 - 2001/6
N2 - We derive Cramér-Rao bound (CRB) expressions for the range (time delay), velocity (Doppler shift), and direction of a point target using an active radar or sonar array. First, general CRB expressions are derived for a narrowband signal and array model and a space-time separable noise model that allows both spatial and temporal correlation. We discuss the relationship between the CRB and ambiguity function for this model. Then, we specialize our CRB results to the case of temporally white noise and the practically important signal shape of a linear frequency modulated (chirp) pulse sequence. We compute the CRB for a three-dimensional (3-D) array with isotropic sensors in spatially white noise and show that it is a function of the array geometry only through the "moments of inertia" of the array. The volume of the confidence region for the target's location is proposed as a measure of accuracy. For this measure, we show that the highest (and lowest) target location accuracy is achieved if the target lies along one of the principal axes of inertia of the array. Finally, we compare the location accuracies of several array geometries.
AB - We derive Cramér-Rao bound (CRB) expressions for the range (time delay), velocity (Doppler shift), and direction of a point target using an active radar or sonar array. First, general CRB expressions are derived for a narrowband signal and array model and a space-time separable noise model that allows both spatial and temporal correlation. We discuss the relationship between the CRB and ambiguity function for this model. Then, we specialize our CRB results to the case of temporally white noise and the practically important signal shape of a linear frequency modulated (chirp) pulse sequence. We compute the CRB for a three-dimensional (3-D) array with isotropic sensors in spatially white noise and show that it is a function of the array geometry only through the "moments of inertia" of the array. The volume of the confidence region for the target's location is proposed as a measure of accuracy. For this measure, we show that the highest (and lowest) target location accuracy is achieved if the target lies along one of the principal axes of inertia of the array. Finally, we compare the location accuracies of several array geometries.
KW - Cramér-Rao bound
KW - Radar array processing
KW - Sonar array processing
UR - https://www.scopus.com/pages/publications/0035369094
U2 - 10.1109/78.923295
DO - 10.1109/78.923295
M3 - Article
AN - SCOPUS:0035369094
SN - 1053-587X
VL - 49
SP - 1122
EP - 1137
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 6
ER -