Modelling and Simulation of Efficient Low Density Parity Check Decoder for Rtl Software Defined Radio

Abstract

Radio communication is the technology that transfers information between users in the RF spectrum. Recently, tremendous changes are happening in this domain due to latest development in chip manufacturing techniques, efficient data processing methods, and the potential number of users. The forward error correction becomes vital due to heavy traffic through communication channel. The main aim of the proposed work is to develop an efficient decoding structure that is suitable for the on-board receiver device developed by using Software Defined Radio technology. At present, several vendors have committed to develop the wide-band RF radio receiver based on this technology as it is reconfigurable by modifying the software only. RTL- Software Defined Radio (RTL-SDR) is a USB dongle-based wide-band, flexible RF receiver hardware developed with DVB-T TV tuner with the RTL2832U chipset. This device can receive spectrum signals between 25MHz and 1750MHz using the Rafael micro tuner 820T2 and the Realtek RTL 2832U hardware chipset. Technological advancement in the fields of high-speed analog to digital converters (ADCs) and higher-end Field Programmable Gate Arrays (FPGAs) have sparked research interest over this SDR domain. Methods like quantization are utilized to interpret the information signal in binary form. This encoding/decoding concept is unavoidable in all forms of error-free digital communication platforms. The proposed method describes one such method in the SDR domain. This methodology proves to be one of the efficient algorithms as per the constraints of SDR architectures.Low-Density Parity Check (LDPC) is the linear forward error-correction code used widely in modern communication systems. LDPC codes are used in the applications, which requires reliable and highly efficient information transfer over bandwidth-constrained links in the presence of noise The purpose of efficient channel coding is to optimize SNR to minimize the power requirement at the transmitter end.