Factorized algorithms for combined spatial and temporal processing of radar signals
Abstract
Digital spatial and temporal maximum likelihood processing algorithms for dealing with complex envelopes of band signals from two dimensional antenna arrays are synthesized. Factoring the canonical combined processing algorithm, or its representation as a sequence of several procedures, reduces the amount of computation significantly and makes the computation easier to organize. The possibility of factoring is determined by the features of the structure of the signal matrix and the properties of its elements. The factored algorithm implements three functionally identical multiplications of a three dimensional data matrix and some two dimensional matrix operator. Each such procedure is broken down into simpler multiplications of different vector sections of the data matrix by the matrix operator. The group nature of the procedures makes it possible to parallel the computation and the three stage structure of the algorithm facilitates pipelining. Factoral maximum likelihood space and temporal processing algorithms are found to be a successful alternative for existing canonical and traditional algorithms for processing band signals in digital systems employing discrete arrays.
 Publication:

USSR Rept Electron Elec Eng JPRS UEE
 Pub Date:
 January 1985
 Bibcode:
 1985RpEEE.......13C
 Keywords:

 Algorithms;
 Digital Radar Systems;
 Factorization;
 Radar Transmission;
 Signal Processing;
 Antenna Arrays;
 Computation;
 Maximum Likelihood Estimates;
 Operators (Mathematics);
 Communications and Radar