Journal of Jilin University(Engineering and Technology Edition) ›› 2019, Vol. 49 ›› Issue (5): 1735-1744.doi: 10.13229/j.cnki.jdxbgxb20180442

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Adaptive sum and difference beams angle measurement method at subarray level based on feature space

Yun-he CAO(),Li ZENG,Yu WANG   

  1. National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
  • Received:2018-05-05 Online:2019-09-01 Published:2019-09-11

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Abstract:

In the case of active interference, while the interference is suppressed, adaptive signal processing affects the sum beam and difference beam weight vectors, the sum beam and difference beam distortion occur, which make sum-difference angle measuring method produce a larger deviation, leading to the performance degradation of sum-difference angle measuring method. To solve these problems, a method of adaptive difference beam weighting for uniform subarrays is proposed, which could get high angle measurement performance while restraining interference. So the adaptive angle detection curve coincides with idea sum and difference angle curve. The proposed method is robust and can achieve good angle measurement under the presence of pointing errors and small snapshots. Comparison to monopulse angle measurement method for generalized sidelobe cancellation at subarray level reflects the advantages of proposed method. The computer simulation proves the efficiency of the algorithm.

Key words: imformation processing technology, monopulse angle measurement, sum and difference beams, subarray, feature space

CLC Number: 

  • TN957.2

Fig.1

Generalized sidelobe cancellation schematic"

Fig.2

Sum-and-difference beam pattern of generalizedsidelobe canceler at subarray level"

Fig.3

Sum-and-difference beam pattern at subarray level based on feature space"

Fig.4

Monopulse ratio curve of generalized sidelobe canceler at subarray level"

Fig.5

Monopulse ratio curve of adaptive sum and difference beams at subarray level based onfeature space"

Fig.6

Sum-and-difference beam pattern at subarray level based on feature space"

Fig.7

Monopulse ratio curve of adaptive sum and difference beams at subarray level based on feature space"

Fig.8

Monopulse ratio curve with generalized sidelobe canceler at subarray level with pointing error"

Fig.9

Monopulse ratio curve of adaptive sum and difference beams at subarray level based on feature space with pointing error"

Fig.10

When number of sampling points is less, fully adaptive sum beam pattern at subarray level and adaptive sum beam pattern at subarray level based on feature space"

Fig.11

When number of sampling points is less, fully adaptive difference beam pattern at subarray level and adaptive difference beam pattern at subarray level based on feature space"

Fig.12

When number of sampling points is less, sum-and-difference beam pattern at subarray level based on feature space"

Fig.13

When number of sampling points is less, monopulse ratio curve of adaptive sum and difference beams at subarray level based on feature space"

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