In this paper, the problem of weighted block recursive least squares (RL-4S) adaptive filtering is formulated in the context of block fast transversal filter (FTF) algorithm. This "modified block FTP algorithm" is derived by modifying the constrained block-LS cost function to guarantee global optimality. This new soft-constrained algorithm provides an efficient way of transferring weight information between blocks of data. The tracking ability of the algorithm can be controlled by varying the block length and/or a soft constrained parameter. This algorithm is computationally more efficient compared with other LS-based schemes. The effectiveness of this algorithm is tested on a reallife problem dealing with underwater target identification from acoustic backscatter. The process involves the identification of the presence of resonance in the acoustic backscatter from a target of unknown shape submerged in water.
Bibliographical noteFunding Information:
Manuscript received January 21, 1995; revised March 20, 1996. This work was supported by the Office of Naval Research. Technical agent was Naval Coastal Systems Station, Panama City, FL. The associate editor coordinating the review of this paper and approving it for publication was Dr. Andreas Spanias.