Sensor-array data processing for multiple-signal sources

1 March 1968

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory

Vol. 14 (2) , 294-305
https://doi.org/10.1109/tit.1968.1054121

Abstract

Techniques are considered for processing the outputs of a sensor array that is observingJdistinct signal sources. Three types of wideband signals are discussed: unknown, stochastic, and parameterized. Narrowband signals are a special case. Four types of random errors are discussed: additive sensor noise, sensor gain errors, sensor time-delay errors, and "beam-pointing' errors. It is concluded that the so-called decoupled-beam data processor is a very promising technique, which can be implemented by passing the output ofJindividual "beams" through aJ-input,J-output linear system. When sensor gain-delay and beam-pointing errors are not present, the decoupled-beam data processor provides "infinite sidelobe rejection."

Keywords

This publication has 7 references indexed in Scilit:

Multidimensional maximum-likelihood processing of a large aperture seismic array
Proceedings of the IEEE, 1967
A Comparison of Seismic Array Processing Methods
Geophysical Journal International, 1966
The design of point detector arrays--II
IEEE Transactions on Information Theory, 1966
Detection of Random Acoustic Signals by Receivers with Distributed Elements: Optimum Receiver Structures for Normal Signal and Noise Fields
The Journal of the Acoustical Society of America, 1965
Array antennas: New applications for an old technique
IEEE Spectrum, 1964
On the angular resolution of multiple targets
Proceedings of the IEEE, 1964
Optimum Signal Processing of Three-Dimensional Arrays Operating on Gaussian Signals and Noise
The Journal of the Acoustical Society of America, 1962