The IEEE 802.11g PHY model is then translated to software (C++) with the aid of Real-Time workshop software tool. The integrity of the developed model is verified by measurement of the constellation versus signal to noise ratio (SNR) and Bit error Rate (BER) versus SNR graph, which are reported. Signal processing architectures and algorithms for the physical layer of IEEE 802.11g-the latest release from the popular IEEE family of wireless standards-is developed and simulated in Matlab and Simulink. Signal processing implementations is explored. It aims to build flexible radio systems which are multiple-Defined Radio architectures as a prototyping, tool for wireless baseband signal processor implementations is explored. Therefore the SDR concept is emerging as a pragmatic solution. A side effect of the rapid growth of wireless system technology in the recent past is an excess of wireless system standards. It facilitates implementation of the physical and link layer protocols-in effect entire wireless system,-in software. – Software-Defined Radio (SDR) is a rapidly evolving technology that is receiving enormous recognition and generating widespread interest in the telecommunication industry. The proposed technique provides overall good results for different value of SNR. The various techniques such as Convolution codes and Viterbi decoding to reduce the effect of synchronization by compare OFDM and proposed method through MATLAB Simulation in terms of Bit Error Rate (BER) and Signal to Noise Ratio (SNR) using different parameters like number of subcarriers and modulation techniques. Each of them has a low data rate and long symbol duration Ts. OFDM splits up the data stream into a high number of subcarriers. Orthogonal Frequency Division Multiplexing (OFDM) is an efficient modulation scheme proposed as a solution to this problem. There are few Systems where bit error rate applications are useful like fiber optic data systems, radio data link systems, Ethernet, or the systems which transmit data in a network where interference, noise may lower the performance of the digital signal. BER is a unitless performance measure, often expressed as a percentage. Bit error rate is used to assess systems which can transmit digital data from one address to other address. This paper introduce the Bit error rate (BER) simulation using 16QAM (Quadrature Amplitude Modulation) in Matlab.
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