Minimum shift keying (MSK) is a continuous phase modulation with both high spectrum efficiency and power efficiency, and has been widely used in wireless communication systems. Existing demodulation algorithms of MSK signals mainly consider either white Gaussian noise (WGN) or non-Gaussian impulsive noise (IN). However, the MSK signals suffer from the mixture of WGN and IN in many practical scenarios. For these environments, directly applying these demodulation algorithms could not achieve desirable bit error rate (BER) performance. In this paper, we address the problem of demodulation of MSK signals under the mixture of WGN and IN. Based on the approximate probability density function, the Viterbi algorithm based demodulation scheme is proposed by calculating the maximum-likelihood (ML) branch metric and the corresponding theoretical BER performance is analyzed. Furthermore, several popular branch metrics are compared in terms of both BER and complexity. Simulations results show that the proposed ML branch metric can obtain the best BER performance under all the scenarios, and the theoretical BER matches the simulation results well.
Viterbi Demodulation of MSK Signal under both Impulsive Noise and Gaussian White Noise
10.10.2023
1712126 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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