A self-normalizing gradient search adaptive array algorithm

Abstract

Adaptive canceller and pulse compressor interactions. IEEE i7ansaawns on Aermpace and Electronic Systems, 2 7 , 2 (Mar. 1991), 331-342 Rapid convergence rate in adaptive arrays. IEEE i7ansactwns on Aerospace and Electronic Systems, Reed, I. S., et al. (1974) AES-10, 6 (DeC 1974), 853-863. B o m n , D. M. (1980) Sample size considerations for adaptive arrays. Detection loss of the sampled matrix inversion technique. Performance of an adaptive detector algorithm; rejection of unwanted signals IEEE Transactions on Aerqace and Electronic Systems, 25,2 (Mar. 1989), 122-133. Adaptive array transient sidelobe levels and remedies. IEEE Transactions on Aerospace and Electronic Systems, 26,3 (May 1990), 560-568. Convergence of the SMI and the diagonally loaded SMI algorithm with weak interfering signalsA method is described (0 normpuZC the step parameter and perturbation amount used for gradient search adaptive algorithms. T h step normalization assures rapid stable convergence. The perturbation normalization also assures rapid stable convergence and limits t h output perturbation wise to a level below thermal noise. Th normalizptiols are conputationally simple and are consistent with lh use of a sbgle receiver at the adaptive array output. Results are presented to verify the robustness of the technique.

Trends in Adaptive Array Processing

“…Farina and Flam [37] proposed a method to normalize the step parameter and perturbation amount used for gradient search adaptive algorithms. The gradient search algorithm differs from other adaptive algorithms in that it does not require the knowledge of received signal.…”

Adaptive radiofrequency hyperthermia-phased array system for improved cancer therapy: phantom target measurements

“…In some situations it may be desirable to change the step size at each iteration as considered in Farina and Flam [46], but that possibility has not been explored in these measurements. Figure 7 shows a block diagram for an adaptive hyperthermia system controlled by the gradient-search algorithm.…”

“…With a gradient search, only the output power of the receiver channels needs to be measured and is used as a feedback signal to the algorithm. A wide variety of gradient searches exist [46][47][48][49][50].…”