An Algorithm for Solving Speed ​​Fuzzy Based on Fast Lookup Table Method

Abstract

The invention provides a solution speed fuzzy algorithm based on a fast table look-up method, comprising the following steps: with four speed channel numbers of different repetition frequencies output by a signal processor and a speed fuzzy table artificially established in advance as input, looking up in the table by columns through line-by-line speed channel number contrast in a loop algorithm; recoding the number of columns satisfying a threshold at the end of each line, comparing the number with a pre-stored maximum of the number, and if the number is greater than the pre-stored maximum, updating the maximum and the line number thereof; if the maximum is equal to 4, recording the line number, ending the look-up process, and outputting the speed value of the first column of the line as a target speed; if the maximum is equal to 3 at the end of table look-up, outputting the target speed value of the first column of the line of maximum recording as a target speed; and if the maximum is smaller than 3, determining that table look-up fails and solution speed fuzziness fails. The efficiency and reliability of solution fuzziness can be improved.

Description

technical field [0001] The invention belongs to the field of radar data processing, and relates to a method for solving velocity ambiguity with repetition frequency variation in radar data processing. Background technique [0002] When selecting the repetition frequency of the radar search target mode, the range ambiguity and speed ambiguity cannot be balanced. In order to avoid distance ambiguity, the repetition frequency of velocity ambiguity is selected, which requires designing an algorithm in radar data processing to solve velocity ambiguity and obtain the true radial velocity value of the target. The prior art generally uses 3 to 4 repetition frequency staggers to solve the velocity ambiguity. When looking up the speed defuzzification table in the traditional method, various columns are used to search and the range of the column that satisfies the threshold needs to be recorded, and then a second search is performed to obtain the target speed value that satisfies the ...

AI Technical Summary

Problems solved by technology

When looking up the speed defuzzification table in the traditional method, various columns are used to search and the range of the column that satisfies the threshold needs to be recorded, and then a second search is performed to obtain the target speed value that satisfies the conditions. slow and inefficient

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