Improved genetic algorithm-based m-sequence radar signal waveform optimization method
A technology for improving genetic algorithms and radar signals. It is used in radio wave measurement systems, instruments, etc. It can solve the problems of weak local search ability and easy to fall into local optimal solutions, and achieve the effect of maintaining population diversity.
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[0025] Reference figure 1 The specific implementation steps of the present invention are as follows:
[0026] Step 1. Set parameters.
[0027] According to the known order of m-sequence radar signal shift register N=2,3,...,11, select the population size M=10,11,...,1000 and the Hamming threshold H F =1,2,...,N-1, where M must be less than 2 N -1, H F Need to be greater than Set the size of the ruling class M T = 7%×M, middle class size M M =60%×M, bottom scale M F =33%×M; select the number of iterations D=2,3,...,1000, and D is any natural number greater than 20.
[0028] Step 2. Generate the population to be evolved
[0029] Using any random sequence generation mechanism, randomly generate M binary sequences of length N as the value of the m-sequence radar signal shift register to form the population to be evolved.
[0030] Step 3. According to the fitness function F(x), calculate the fitness of the shift register values in all the populations to be evolved, and sort all the shift...
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