A1 N.W. Whinnett

A1 A. Manikas

PB

T1 High-resolution array processing methods for joint direction-velocity estimation

JN IEE Proceedings F (Radar and Signal Processing)

VO 140

IS 2

SP 114

OP 122

AB For the passive estimation of directions of arrivals (DOAs) of transmitting sources from an antenna array, high resolution estimators can be achieved from maximum likelihood or signal subspace based concepts, provided that certain model assumptions are satisfied. For the signal subspace class of methods, the sources are nearly always regarded as being stationary during the observation interval of the array data. If this is the case, and if all the other model assumptions are valid, then the DOA can be estimated to arbitrary accuracy in the presence of noise by observing the data over a sufficiently long time interval. When sources are in fact moving relative to the receiving array, errors are induced in signal subspace methods. These depend on the extent of the source motion. Hence there is a trade-off between decreasing noise errors and increasing motion errors as the observation time is increased, and some optimum observation period exists. In some cases, however, even the performance at the optimum observation interval may be unsatisfactory, and alternative approaches are desirable. Signal subspace concepts break down when sources are moving, and maximum likelihood methods for moving sources are computationally expensive. To overcome these problems three novel algorithms have been developed for the joint estimation of source position and velocity from a batch of array data for sources moving with constant angular velocity. These allow increased accuracy in the source position determination, and provide unbiased velocity estimates. The performance of the estimators is compared to the Cramer-Rao lower bound.

K1 source position determination

K1 antenna array

K1 high resolution estimators

K1 observation interval

K1 receiving array

K1 motion errors

K1 unbiased velocity estimates

K1 signal subspace methods

K1 high resolution array processing

K1 Cramer-Rao lower bound

K1 maximum likelihood method

K1 directions of arrivals

K1 constant angular velocity

K1 passive estimation

K1 source motion

K1 DOA

K1 array data

K1 noise errors

K1 observation time

DO https://doi.org/10.1049/ip-f-2.1993.0016

UL https://digital-library.theiet.org/;jsessionid=4ceo9qsc59uij.x-iet-live-01content/journals/10.1049/ip-f-2.1993.0016

LA English

SN 0956-375X

YR 1993

OL EN