Abstract

A rank based bearing estimation method of a passive array is proposed in this paper. Adding a random signal to an array data model to increase the rank and changing the location of the signal to reduce the rank, is the main action. To obtain the optimum estimation in noisy environments a criteria function is introduced. The peaks of the function give us the best candidate for location of the main targets. An array of three sensors with two independent targets is simulated to demonstrate the qualification.

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