Joint Power allocation and target detection in distributed MIMO radars

被引:9
|
作者
Jebali, Safieh [1 ]
Keshavarz, Hengameh [1 ]
Allahdadi, Mehdi [2 ]
机构
[1] Univ Sistan & Baluchestan, Fac Elect & Comp Engn, Dept Commun Engn, Zahedan, Iran
[2] Univ Sistan & Baluchestan, Fac Math, Dept Math, Zahedan, Iran
来源
IET RADAR SONAR AND NAVIGATION | 2021年 / 15卷 / 11期
关键词
LOW PROBABILITY; ANTENNA PLACEMENT; TRACKING; LOCALIZATION;
D O I
10.1049/rsn2.12136
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Here, a power allocation method jointly optimising the total transmit power and the probability of interception is proposed based on target detection applications in distributed multiple-input multiple-output (MIMO) radars. Power allocation is performed by solving a non-linear constrained optimisation problem formulated to minimise the total transmit power based on target detection applications. Then, the Neyman-Pearson detector is designed under the Rayleigh scatter model and the Lagrangian method is used to solve the optimisation problem. Moreover, a positioning algorithm optimising the placement of transmitters and receivers in distributed MIMO radars is applied to minimise the total transmit power satisfying the target detection criterion. The results show that uniform power allocation is not the optimal strategy and the proposed power allocation algorithm provides either better target detection performance for the same power budget, or requires less power to provide the same detection performance. Numerical simulations and the theoretic analysis confirm the effectiveness of the proposed algorithm.
引用
收藏
页码:1433 / 1447
页数:15
相关论文
共 50 条
  • [1] Resource Allocation for Target Detection in Distributed MIMO Radars
    Aittomaki, Tuomas
    Godrich, Hana
    Poor, H. Vincent
    Koivunen, Visa
    2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 873 - 877
  • [2] Joint Antenna Placement and Power Allocation for Target Detection in a Distributed MIMO Radar Network
    Qi, Cheng
    Xie, Junwei
    Zhang, Haowei
    REMOTE SENSING, 2022, 14 (11)
  • [3] DYNAMIC TRANSMIT POWER ALLOCATION FOR DISTRIBUTED MIMO RADAR TARGET DETECTION
    Aittomaki, Tuomas
    Chepuri, Sundeep Prabhakar
    Koivunen, Visa
    2018 IEEE 10TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2018, : 282 - 286
  • [4] Joint Target Assignment and Power Allocation in Multiple Distributed MIMO Radar Networks
    Zhang, Haowei
    Liu, Weijian
    Zhang, Zhaojian
    Lu, Wenlong
    Xie, Junwei
    IEEE SYSTEMS JOURNAL, 2021, 15 (01): : 694 - 704
  • [5] Efficient Joint Moving Target and Antenna Localization in Distributed MIMO Radars
    Amiri, Rouhollah
    Behnia, Fereidoon
    Noroozi, Ali
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (09) : 4425 - 4435
  • [6] Sensor Scheduling and Resource Allocation in Distributed MIMO Radar for Joint Target Tracking and Detection
    Zhang, Haowei
    Xie, Junwei
    Shi, Junpeng
    Zhang, Zhaojian
    Fu, Xiaolong
    IEEE ACCESS, 2019, 7 : 62387 - 62400
  • [7] Centralized and Distributed Tests for Moving Target Detection with MIMO Radars in Clutter of Non-Homogeneous Power
    Wang, Pu
    Li, Hongbin
    Himed, Braham
    2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 878 - 882
  • [8] Receive-Beam Resource Allocation for Multiple Target Tracking With Distributed MIMO Radars
    Xie, Mingchi
    Yi, Wei
    Kong, Lingjiang
    Kirubarajan, Thia
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2018, 54 (05) : 2421 - 2436
  • [9] Power allocation in MIMO radars based on LPI optimisation and detection performance fulfilment
    Ghoreishian, Mohammad Javad
    Hosseini Andargoli, Seyed Mehdi
    Parvari, Fatemeh
    IET RADAR SONAR AND NAVIGATION, 2020, 14 (06): : 822 - 832
  • [10] Joint detection threshold adjustment and power allocation strategy for cognitive MIMO radar target tracking
    Zhang, Haowei
    Liu, Weijian
    Fei, Taiyong
    Digital Signal Processing: A Review Journal, 2022, 126