Adaptive Processing of Element-Digitised Airborne Intercept Phased Array Radar

J. L. Mather, H. D. Rees, M. Cook, J. Wood
DERA, St. Andrew’s Road
Malvern, Worcestershire, WR14 3PS, U.K.
Email: mather@signal.dera.gov.uk

 

Abstract We describe a novel multi-layer ("domain factorisation") adaptive beamforming method, for element-digitised array radar (EDAR). This enables adaptive beamforming weights for an array of many hundreds or thousands of elements to be calculated with realistic sample support and computational workload. Range-dependent gain adaption (RDGA) coupled with adaptive weighting of each element of the array permits much more effective cancellation of clutter and jamming than sub-array based space-time adaptive processing. Simulations of airborne intercept (AI) radar demonstrate the power of this approach for detection of small targets against severe clutter and jamming.

If a strong target echo is present, it is bound to contribute to one or more of the range-gated adaptive weight calculations, and there is a danger of target cancellation. We show how this may be dealt with by excising target line spectral contributions from the data used for weight calculation.

Acknowledgement: This work was carried out as part of Technology Group 9 of the MoD Corporate Research Programme.

British Crown Copyright 2000. Published with the permission of the Defence Evaluation and Research Agency on behalf of the Controller HMSO.

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