Two-dimensional Deployment Optimization Method for the Barrier Coverage of Bistatic Radars

LI Haipeng; FENG Dazheng; WANG Xiaohui; HE Long; ZHOU Yapeng

doi:10.11999/JEIT220215

Volume 45 Issue 4

Apr. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(4): 1275-1284

LI Haipeng, FENG Dazheng, WANG Xiaohui, HE Long, ZHOU Yapeng. Two-dimensional Deployment Optimization Method for the Barrier Coverage of Bistatic Radars[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1275-1284. doi: 10.11999/JEIT220215

Citation:

LI Haipeng, FENG Dazheng, WANG Xiaohui, HE Long, ZHOU Yapeng. Two-dimensional Deployment Optimization Method for the Barrier Coverage of Bistatic Radars[J]. Journal of Electronics & Information Technology, 2023, 45(4): 1275-1284. doi: 10.11999/JEIT220215

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Two-dimensional Deployment Optimization Method for the Barrier Coverage of Bistatic Radars

doi: 10.11999/JEIT220215

1.
National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
2.
Xi'an Electronic Engineering Research Institute, Xi'an 710100, China

Funds: The National Natural Science Foundation of China (61971470)

Received Date: 2022-03-02
Rev Recd Date: 2022-07-29

Available Online: 2022-08-03

Publish Date: 2023-04-10

Abstract

Abstract

To solve the optimization problem of bistatic radar for belt barrier coverage, a two-dimensional deployment optimization method using adjacent deployment lines is proposed. First, the field of interest is approximately represented by a rectangular area, and then the area is divided into multiple identical sub-barrier coverage areas. To give full play to the efficiency of the transmitters, the bistatic radars consisting of the transmitters and the receivers on the same deployment line and the adjacent deployment lines should be considered. Thus, four two-dimensional deployment patterns are introduced and analyzed. Furthermore, an optimization model based on these deployment patterns is proposed. The minimum deployment cost and the coverage area requirements are adopted as the optimization criterion and constraints, respectively. A method based on the greedy algorithm is exploited to solve the optimization model. The deployment locations and the minimum deployment cost can be calculated by the proposed method. Finally, the simulation results and analysis show that, compared with the existing method, the minimum deployment cost and the number of transmitters can be impressively reduced by the proposed method. The effectiveness of the proposed method is proven.
- Bistatic radar,
- Barrier coverage,
- Minimum deployment cost,
- Two-dimensional deployment optimization

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References(25)

References

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