Tracking of multiple targets using pipelined-adaptive algorithm

New pipelined-adaptive algorithms are proposed for tracking multiple frequencies or Angles-of-Arrival (AOA) of moving targets. Pipelining of adaptive filters poses a critical challenge because of the timing mismatch arising from the feedback signals. In this paper, some relaxation techniques are utilized to pipeline adaptive algorithms for high-speed tracking of frequency/AOAs. Two adaptive tracking algorithms have been mapped into pipelined forms, namely Least-Mean Squares (LMS) and Recursive Least-Squares (RLS). Preliminary simulation studies with multiple sources indicate encouraging results