PROJECT TITLE :

A Parametric Method for Multicomponent Interference Suppression in Noise Radars

ABSTRACT:

A technique for interference suppression in noise radars is proposed. The section of interference is domestically approximated by a polynomial, whose coefficients are estimated using the merchandise high-order ambiguity function (HAF), which successfully resolves the elements of multicomponent interference and improves noise rejection. The phase approximation is employed to concentrate and suppress the interference. For nonpolynomial phases, an algorithm that performs a piecewise polynomial approximation is developed. The algorithm is extended to house multicomponent interferences.


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