Direct Sequence Code Division Multiple Access (DS-CDMA) is a schemewhere several users transmit their data simultaneously over a common wireless communication channel,by spreading each data by distinct codes. At the receiver, the individual data are detected by appropriate decoding. In this paper, a new smart receiver is proposed for detecting DS-CDMA signals based on a multi-layer Feed Forward Neural Network (FFNN). The proposed receiver detects the transmitted data when the received signal is distorted due to channel noise, near-far effect and Rayleigh fading. The channel state information is indirectly captured during the training of the FFNN and hence the conventional channel state estimation using pilot signal or training sequences is eliminated. Experimental results show that the performance of the proposed receiver in terms of detection accuracy is superior to similar competitive demodulators.
Digital Audio Broadcasting (DAB) system is one of the high -definition radio with the ability to provide high audio quality and data -based services for stationary and mobile receivers. Digital Video Broadcasting (DVB) is the popular broadcasting standards that enable handheld receivers to receive high definition digital television transmissions. Orthogonal Frequency Division Multiplexing (OFDM) system is a digital multicarrier modulation technique intend offers high spectral efficiency. The main aim set is to arrive as an efficient unified system for multipurpose wireless system that would cater to all existing standards. This paper presents the unified approach for designing an integrated antenna for DAB and DVB using OFDM system. In this paper DAB and DVB using OFDM system is designed individually and their performance is measured by Bit Error Rate (BER). Integrated antenna for DAB and DVB using OFDM system is designed and simulated radiation patterns are presented. The proposed unified approach produces the better BER performance and better gain as compared to individual standard design.
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