System Capacity Optimization of Hybrid Direct Sequence / Slow Frequency Hopping Spread Spectrum Multiple Access Communication System Using Genetic Algorithm

摘要

System capacity of noncoherent asynchronous hybrid direct sequence (DS) slow frequency hopping (SFH) multiple access communication system employing differential phase shift keying modulation (DPSK) is optimized. System capacity is a function of code length, number of hopping frequencies and signal to noise ratio which directly affect the total number of simultaneous users in the system. A scheme is presented using Genetic Algorithm (GA) for the optimization of the system capacity. The proposed scheme can be effectively used to determine the system parameters for a specific number of users under restricted system parameters as well. This procedure reduces the repetitive calculations, accelerates the design process and offers accuracy equal to conventional techniques.