Copy correlation direction-of-arrival estimation performance with a stochastic weight vector

Copy-aided direction finding of co-channel signals with known structure is an effective method of angle estimation applicable to any blind or non-blind frontend signal processing. The frontend processing yields for each emitter a copy weight vector that can be correlated with an angle dependent hypothesized adaptive beamformer to extract direction-of-arrival (DOA). The mean squared error (MSE) performance of this method is extended to include the stochastic nature of the copy weight vectors. Prediction of the DOA MSE performance of copy weights derived from a well-known beamforming algorithm is explored as an application of the results. © 2013 IEEE.

Duke Scholars

Author Christ D Richmond Electrical and Computer Engineering