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 one:
[0021] The detection method for spatially modulated signals in this embodiment, Particle SwarmOptimization (PSO) was proposed by Dr. Eberhart, an American electrical engineer, and Dr. Kennedy, a social psychologist, in 1995, inspired by bird predation behavior It is an evolutionary computing algorithm that has become the focus of attention of researchers in related fields abroad soon after its publication. The PSO algorithm has the advantages of concise concept, easy implementation and fast convergence speed. In recent years, particle population optimization algorithms have been widely used in many fields such as combinatorial optimization, intelligent computing, and neural networks.
[0022] Such as figure 1 As shown, the detection method is implemented through the following steps:
[0023] Step 1. In D-dimensional space, take the potential solution of the signal to be detected as a particle, and all potential solutions form a particle population. Set th...
Example Embodiment
Specific implementation manner two:
[0029] The difference from the first embodiment is that in the detection method for spatial modulation signals of this embodiment, the current particle velocity of each particle is updated in step 3 By formula: V id k + 1 = ω V id k + c 1 * ( P gd k - X id k ) + c 2 * X n = 1 m ω nd ( P nd k - X id k ) Learn from all particles in the population that are smaller than the fitness function value q of the current particle position to get the updated speed Where
[0030] Represents the current particle velocity,
[0031] Indicates the gap between the global optimal position and the current position, c 1 It is a randomly generated number between 0 and 4, usually the value is 2;
[0032] Represents learning from all particles in the population that are smaller than the fitness function value q of the current particle position accordin...
Example Embodiment
Specific implementation manner three:
[0040] The difference from the first or second embodiment is that in the detection method for spatial modulation signals of this embodiment, the current particle velocity is The learning degree of all particles in the population that is smaller than the fitness function value q of the current particle position is determined by the weight function ω nj Decided.
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