Detection method for space modulation signal
A detection method and space modulation technology, which are applied in the direction of preventing/detecting errors through diversity reception, can solve the problems of reduced convergence performance, and achieve the effects of improved convergence and low computational complexity
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specific Embodiment approach 1
[0021] The detection method for the spatially modulated signal in this embodiment, Particle Swarm Optimization (PSO) was proposed by American electrical engineer Dr. Eberhart and social psychologist Dr. Kennedy in 1995 from the predation behavior of birds. An evolutionary computing algorithm based on , shortly after it was published, it became the focus of researchers in related fields abroad. The PSO algorithm has the advantages of concise concept, easy implementation and fast convergence. In recent years, the particle swarm optimization algorithm has been widely used in many fields such as combinatorial optimization, intelligent computing and neural network.
[0022] Such as figure 1 As shown, the detection method is realized through the following steps:
[0023] Step 1. In the D-dimensional space, the potential solution of the transmitted signal to be detected is regarded as a particle, and all potential solutions form a particle population, and the number of iterations N...
specific Embodiment approach 2
[0029] The difference from Embodiment 1 is that, in the detection method for spatially modulated signals in this embodiment, the current particle velocity of each particle is updated as described in step 3 By formula: V id k + 1 = ω V id k + c 1 * ( P gd k - X id k ) + c 2 * Σ n = 1 m ω nd ( P nd k - X id ...
specific Embodiment approach 3
[0040] Different from the first or second specific embodiment, in the detection method for spatially modulated signals in this embodiment, the current particle velocity The degree of learning to all particles in the population that are smaller than the fitness function value q of the current particle position is determined by the weight function ω nj Decide.
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