Validation of Parallel Distributed Adaptive Signal Processing (PDASP) Framework through Processing-Inefficient Low-Cost Platforms

The computational complexity of the multiple-input and multiple-output (MIMO) based least square algorithm is very high it cannot be run on processing-inefficient low-cost platforms. To overcome complexity-related problems, a parallel distributed adaptive signal processing (PDASP) architecture proposed, which framework used to efficiently filtering algorithms having cost. In this paper, communication load-balancing procedure introduced validate PDASP using wireless sensor nodes. with implementation Recursive Least Square (RLS) deployed nodes performance in terms cost, time, memory utilization. Furthermore, time utilization provided by are compared sequentially operated RLS-based MIMO channel estimator 2×2, 3×3, 4×4 systems. measurement results show that RLS 3×3 systems unable work single unit; however, these can reduced time.