Method for optimizing space between broad band phased array elements and measuring frequency and direction of frequency domain multiple targets
A multi-target, spacing technology, applied in the field of electronic reconnaissance, can solve the problem that the array element spacing can not take into account the direction finding resolution and unambiguous direction finding, the strict requirements for channel consistency, and affect the direction finding resolution, etc., so as to enhance the reconnaissance ability , facilitate engineering implementation, and improve the effect of signal-to-noise ratio
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example 1
[0067] Example 1, assuming that there are 13 array elements, assuming that an array element spacing is: X axis (0, 0), (0, 3), (0, 9), (0, 10), (0, 17), (0, 21), (0, 32), Y axis (4, 0), (8, 0), (6, 0), (11, 0), (15, 0), (32, 0) ( The unit of the array element position is half wavelength).
[0068] The first 5 array elements corresponding to the X-axis and Y-axis are: X-axis (3, 6, 1, 7, 4); Y-axis (4, 4, 2, 5, 4) (unit is half wavelength), The main-side lobe ratio of the pattern corresponding to this group of array element spacing is: 1.5579
[0069] If the number of coding digits is set to 5, the corresponding binary codes of this group of array elements after conversion are: X axis (00011, 00110, 00001, 00111, 00100); Y axis (00100, 00100, 00010, 00101, 00100), these The 0 and 1 codes are the genes in the genetic algorithm, and then they are concatenated into individuals in sequence: 00011 00110 00001 00111 00100 00100 00100 00010 00101 00100, the individ...
example 2
[0072] Example 2, if the crossover probability P is set c is 0.5, then the individuals whose corresponding random number is less than 0.5 among the M individuals will be used as parent chromosomes and randomly divided into pairs. Assuming that the individual in Example 1 corresponds to a random number of 0.25, and is grouped with another individual whose corresponding random number is 0.1, the crossover operation is performed between the two parent individuals, and the crossover individuals are: 00011001100000100111001000010000100000100010100100 and 00010001100001100111001000010001100000100010100100 (the array spacing corresponding to this individual is X-axis (2, 6, 3, 7, 4) Y-axis (4, 12, 2, 5, 4)), then a random integer 31 is generated, and the exchange point is 31 , perform crossover operation to get two new individuals:
[0073] 31
[0074] Before crossing: 0001100110000010011100100001000 0100000100010100100
[0075] 0001000110000110011100100001000 11000001...
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