This paper presents a statistically and computationally efficient-algorithm
for direction finding of a single far-field source using a multi-sensor ar
ray. The algorithm extracts the azimuth and elevation angles directly from
the estimated time delays between the array elements. Hence, it is referred
to herein as the time delay direction finding (TDDF) algorithm. An asympto
tic performance analysis, using a small error assumption, is conducted. For
any 1-D and 2-D array configurations, it is shown that the TDDF algorithm
achieves the Cramer Rao lower bound (CRLB) for the azimuth and elevation es
timates provided that the noise is Gaussian and spatially uncorrected and t
hat the time delay estimator achieves the CRLB as well. Moreover, with the
suggested algorithm no constraints on the array geometry are required. For
the general 3-D case the algorithm does not achieve the CRLB for a general
array. However, it is shown that for array geometries which obey certain co
nstraints the CRLB is achieved as well. The TDDF algorithm offers several a
dvantages over the beamforming approach. First, it is more efficient in ter
ms of computational load. Second, the azimuth estimator does not require th
e a priori knowledge of the wave propagation velocity. Third, the TDDF algo
rithm is suitable for applications where the arrival time is the only measu
red input, in contrast to the beamformer, which is not applicable in this c
ase. (C) 1999 Acoustical Society of America. [S0001-4966(99)05106-1].