An Optimal Deployment Method of Heterogeneous Multi-static Radars for Linear Barrier Coverage

被引：0
|
作者：
Li H. [1 ,2 ]
Feng D. [1 ]
Chen S. [3 ]
机构：
[1] National Key Laboratory of Radar Signal Processing, Xidian University, Shaanxi, Xi'an
[2] First General Department, Xi'an Electronic Engineering Research Institute, Shaanxi, Xi'an
[3] Teaching and Research Support Center, Engineering University of PAP, Shaanxi, Xi'an
来源：
Binggong Xuebao/Acta Armamentarii | 2022年 / 43卷 / 08期
关键词：
deployment cost; linear barrier coverage; multistatic radar; radar deployment sequence;
D O I：
10.12382/bgxb.2021.0406
中图分类号：
学科分类号：
摘要：
To construct a linear barrier coverage, in case of the locations of multistatic radar are constrained, an optimization method using heterogeneous multistatic radar is proposed. This method proves the composition properties of the optimal linear barrier coverage sequence by studying the relationship between heterogeneous and homogeneous multistatic radars. Then, the optimization model is established underlying these properties. Besides, the restriction of the deployment location is taken as the constraint condition of the model. Aiming at the non鄄convexity and non鄄analyticity of the objective function in the model, an optimization algorithm combining integer linear programming and enumeration method is exploited. The algorithm solves the optimization problem in layers and segments according to the situation of restricted deployment. Furthermore, it determines the optimal barrier coverage sequence based on the minimum deployment cost criterion. Simulation experiments show that the performance and cost of the radar transmitter play an essential role in determining the optimization results. This method can obtain optimized results under the constraint of the location of multistatic radar. © 2022 China Ordnance Society. All rights reserved.
引用
收藏
页码：1858 / 1867
页数：9
相关论文
共 22 条
  • [1] SAIPULLA A, WESTPHAL C, LIU B, Et al., Barrier coverage of line鄄based deployed wireless sensor networks, 椅Proceedings of IEEE INFOCOM 2009, pp. 127-135, (2009)
  • [2] AMMARI H M, DAS S K., Centralized and clustered k鄄coverage protocols for wireless sensor networks, IEEE Transactions on Computers, 61, 1, pp. 118-133, (2012)
  • [3] WANG B, XU H, LIU W Y, Et al., A novel node placement for long belt coverage in wireless networks[J], IEEE Transactions on Computers, 62, 12, pp. 2341-2353, (2013)
  • [4] YILDIZ E, AKKAYA K, SISIKOGLU E, Et al., Optimal camera placement for providing angular coverage in wireless video sensor networks, IEEE Transactions on Computers, 63, 7, pp. 1812-1825, (2014)
  • [5] KUMAR S, LAI T H, ARORA A., Barrier coverage with wireless sensors, Wireless Networks, 13, 6, pp. 817-834, (2007)
  • [6] CHANG J, SHEN X H, YUAN Y F, Et al., Strong barrier coverage in underwater directional sensor network [C], 椅Proceedings of 2020 IEEE International Conference on Signal Processing, Communications and Computing, pp. 1-5, (2020)
  • [7] AMMARI H M., A unified framework for k鄄coverage and data collection in heterogeneous wireless sensor networks[J], Journal of Parallel and Distributed Computing, 89, pp. 37-49, (2016)
  • [8] WILLIS N J, GRIFFITHS H D., Advances in bistatic radar, (2007)
  • [9] GUO Q, LI W F, MA C Z., A novel framework of the mathematical model and ambiguity function for a bistatic detection system, Acta Armamentarii, 30, 11, pp. 1457-1462, (2009)
  • [10] YU H L, LIU N, ZHANG L R, Et al., An interference suppression method for multistatic radar based on noise subspace projection, IEEE Sensors Journal, 20, 15, pp. 8797-8805, (2020)
123