Low communication parallel distributed adaptive signal processing (LC-PDASP) architecture for processing-inefficient platforms

Abstract

In this paper, a low communication parallel distributed adaptive signal processing (LC-PDASP) architecture for a group of computationally incapable and inexpensive small platforms is introduced. The proposed architecture is capable of running computationally high adaptive filtering algorithms parallely with minimally low communication overhead. A recursive least square (RLS) adaptive algorithm based on the application of multiple-input multiple-output (MIMO) channel estimation is implemented on the proposed LC-PDASP architecture. Complexity and Communication burden of proposed LC-PDASP architecture are compared with that of conventional PDASP architecture. The comparative analysis shows that the proposed LC-PDASP architecture exhibits low computational complexity and provides an improvement more than of 85% reduced communication burden than the conventional PDASP architecture. Moreover, the proposed LC-PDASP architecture provides fast convergence performance in terms of mean square error (MSE) than the PDASP architecture.

Construction of Automatic Acquisition System for Multichannel Electronic Communication Signals Based on Sorting Optimization Algorithm

“…erefore, it is necessary to improve the traditional capture algorithm in order to improve the capture rate. ere are some researches on the automatic capture system of multichannel electronic communication signals by scholars: Zhang et al [1] dealt with the existing electronic communication signal capture problem in a datadriven manner by mining the intrinsic characteristics of real data [1]; Li [2] focused on the research on the in uence of atmospheric environment in coastal areas and the optimization of communication signal processing, and created a Lagrangian smog di usion model based on pollution levels, meteorological conditions, and initial parameters of the subsurface near the surface [2]; Raza et al [3] created a lowcommunication parallel distributed adaptive signal processing architecture for processing ine cient platforms [3]. To facilitate micro uidic circuit design, Bi and Deng [4] identi ed primary and secondary components, showing how to build tertiary basic modules and discussed the solution of four-level digital logic gate in designing, constructing, and testing micro uidic circuits with complex signal processing function [4].…”