Abstract:
Low-Density Parity Check (LDPC) code meets the desired performance for extended code lengths and binary fields. LDPC codes offer noteworthy error correction performance and also increase the design overhead for wireless communication systems. LDPC codes can offer proximity to Shannon Limit performance, when execution complexity and latency are not system boundaries, by using large code lengths and ever-increasing the number of iterations in the decoding process. Here in this paper, we have demonstrated data reduction method using Principal Component Analysis (PCA) for fuse data at sensor level to transmit and regress the same at the receiver for improvising the channel capacity of the system. We have fused 45 signals sensor data having a bandwidth from 50 Hz to 2500 Hz, sampled at 5 KHz each. The regression is measured using the RMSE between the transmitted and received signals. Also, the communication system has demonstrated the BER performance of the 2-Phase shift keying (BPSK) modulation technique with and without LDPC decoder (Min-Sum) for 2x2, 3x3, 4x4 Multiple Input Multiple Output (MIMO) channel. The performance parameters for data regression and data communication error is evaluated over AWGN channel ranging from -15 dB to 40 dB SNR. The proposed system is useful for the next generation low bandwidth communication system such as wireless systems developments, i.e., WiMAX and 4G, 5G, 6G.
