Validation of PDASP for Quasi-Stationary MIMO Channel Estimation Through Processing-Inefficient Low-Cost Communication Platforms

Abstract

In this thesis, a validation of Parallel Distributed Adaptive Signal Processing (PDASP) technique with the deployment of low complexity MIMO channel estimation algorithm is presented. The proposed PDASP architecture is implemented on the processing-inefficient low-cost wireless sensor nodes to validate PDASP architecture in terms of processing time, computational complexity and data transmission delay. Furthermore, processing time, computational complexity and communication delay of PDASP architecture with low complexity MIMO channel estimation algorithm are compared with sequentially-operated MIMO channel estimator for 2 × 2, 3 × 3, and 4 × 4 MIMO communication systems. It is realized that the sequentially-operated MIMO channel estimator is unable to work for 3 × 3 and 4 × 4 MIMO communication system on single unit; while, these MIMO structures can efficiently be run on PDASP architecture with reduced processing time and memory utilization.