Derivative constraints for high-resolution direction finding with correlated interferers

Gerald L. Fudge; Darel A. Linebarger

doi:10.1117/12.241978

7 June 1996 Derivative constraints for high-resolution direction finding with correlated interferers

Gerald L. Fudge, Darel A. Linebarger

Proceedings Volume 2750, Digital Signal Processing Technology; (1996) https://doi.org/10.1117/12.241978
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

High resolution direction finding techniques, such as MUSIC, generally do not perform well in the presence of correlated signals. In some situations, the direction of one (or more) of the correlated signals is known (such as when a `friendly' known signal is being jammed by an unknown signal). In this case, constraints can be included to block the direction of the known signal(s). Since the known direction usually have some uncertainty, additional constraints are necessary in order to block the known signals and hence decorrelate the unknown signal. This paper examines the use of derivation constraints to achieve signal decorrelation when the directions of `friendly' signals are known only approximately. This same concept of derivative constraints is also applied to the wideband signal case after using spatial resampling to focusing the correlation matrix. A cubic spline based resampling technique is proposed rather than the conventional sinc function resampling in order to achieve adequate resolution in the uncorrelated case before applying derivative constraints for correlated signals.

Citation Download Citation

Gerald L. Fudge and Darel A. Linebarger "Derivative constraints for high-resolution direction finding with correlated interferers", Proc. SPIE 2750, Digital Signal Processing Technology, (7 June 1996); https://doi.org/10.1117/12.241978

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KEYWORDS

Interference (communication)

Monte Carlo methods

Signal to noise ratio

Sensors

Data modeling

Spatial filters

Electronic filtering

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