Northrop Grumman Systems Corporation

Scott Siegrist

John M Trippett

Yenming Chen

Christopher W Walker

Meina Xu

Brandon Rigg

A method and system of symbol measurement and combining (SMaC) provides near-optimal performance for each user independently by relying on rapid digital beamforming with near-ideal convergence properties. This approach is also provides near-ideal performance without any knowledge of user/jammer location and adapts instantly as those locations change. An iterative joint estimation method is used to determine a covariance matrix R, and a user beamsteering vector, &#x3b1;.

Method and apparatus for symbol measurement and combining

A method and apparatus in one example uses adaptive digital beamforming with a plurality of heterogeneous antennas which are more affordable and flexible and do not require the use of a nuller antenna. The method uses adaptive, multi-beam digital beamforming without knowledge of a signal direction or aperture of the antena. The method works with arbitrary antenna elements in arbitrary locations and does not require any a priori antenna model. The method also optimizes signal-to-noise ratio (SNR) of the received signal.

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Hermosa Beach, CA, United States of America

Scott Siegrist