Optical controller for adaptive phased-array antennas using neural network architecture

Casimer M. DeCusatis; Pankaj K. Das

doi:10.1117/12.18156

1 June 1990 Optical controller for adaptive phased-array antennas using neural network architecture

Casimer M. DeCusatis, Pankaj K. Das

Proceedings Volume 1217, Optoelectronic Signal Processing for Phased-Array Antennas II; (1990) https://doi.org/10.1117/12.18156
Event: OE/LASE '90, 1990, Los Angeles, CA, United States

Abstract

An analog optical signal processor has been developed to implement the function of antenna sidelobe interference cancellation. The architecture, which includes optical correlators with Bragg cell input, an optical time modulator, and an optical spatial integrator, performs an operation which is equivalent to the multiple-loop Howells-Applebaum Least Mean Square (LMS) algorithm. This implementation offers the potential for cancelling multiple correlated interference signals (i.e. direct path and multipath interference signals) with an appropriate number of auxiliary antennas. A previous report described single frequency CW tests of such a processor. Preliminary tests with wide-band waveforms and the special test instrumentation developed to perform these tests are described in this paper.

Citation Download Citation

Casimer M. DeCusatis and Pankaj K. Das "Optical controller for adaptive phased-array antennas using neural network architecture", Proc. SPIE 1217, Optoelectronic Signal Processing for Phased-Array Antennas II, (1 June 1990); https://doi.org/10.1117/12.18156

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