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Multiuser Detection Using Particle Swarm Optimization over Fading Channels with Impulsive Noise

Srinivasa R. Vempati 1, Habibulla Khan 2, Anil K. Tipparti 3
1. Department of ECE, KITS for Women, Kodad 508206, India
2. Department of ECE, KL University, Vaddeswaram 522502, India
3. Department of ECE, SR Engineering College, Warangal 506371, India

Abstract—The direct sequence-code division multiple access (DS-CDMA) signals are transmitted over multipath channels that introduce fading and shadowing. Combined effect of multipath fading and shadowing along with Multiple Access Interference (MAI) and Inter-Symbol Interference (ISI) worsens the system performance. Further, experimental results have confirmed the presence of impulsive noise in wireless mobile communication channels. Hence, this paper presents a Particle Swarm Optimization (PSO) based multiuser detection technique for DS-CDMA systems over Rayleigh, Nakagami-n (Rice), Nakagami-m and Generalized-K (GK) fading channels in presence of impulsive noise. Impulsive noise is modeled by two-term Gaussian mixture noise and white Laplace noise. Maximal ratio combining (MRC) receive diversity is also incorporated to mitigate the effects of fading and shadowing. Performance of proposed M-estimator based detector is analyzed by evaluating average error rate. Simulation results show that the proposed M-estimator based detector performs better in the presence of fading, shadowing and heavy-tailed impulsive noise when compared to least squares, Huber and Hampel M-estimator based detectors.

Index Terms—Diversity combining, fading channel, GK distribution, impulsive noise, Laplace noise, multiuser detection, bit error rate, particle swarm optimization, shadowing

Cite: Srinivasa R. Vempati, Habibulla Khan, and Anil K. Tipparti, “Multiuser Detection Using Particle Swarm Optimization over Fading Channels with Impulsive Noise," Journal of Communications, vol. 11, no. 1, pp. 23-32, 2016. Doi: 10.12720/jcm.11.1.23-32