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Target localization for distributed MIMO radar systems

Target localization for distributed MIMO radar systems

자료유형
학위논문
개인저자
신혁수, 申赫秀
서명 / 저자사항
Target localization for distributed MIMO radar systems / Hyuksoo Shin
발행사항
Seoul :   Graduate School, Korea University,   2020  
형태사항
v, 76장 : 도표 ; 26 cm
기타형태 저록
Target Localization for Distributed MIMO Radar Systems   (DCOLL211009)000000127331  
학위논문주기
학위논문(박사)-- 고려대학교 대학원: 컴퓨터·전파통신공학과, 2020. 2
학과코드
0510   6YD36   371  
일반주기
지도교수: 정원주  
서지주기
참고문헌: 장 72-74
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PDF 파일로도 이용가능;   Requires PDF file reader(application/pdf)  
비통제주제어
Distributed MIMO radar , Ground-based system , Mutli-target localization , Bistatic range , Target localization,,
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040 ▼a 211009 ▼c 211009 ▼d 211009
085 0 ▼a 0510 ▼2 KDCP
090 ▼a 0510 ▼b 6YD36 ▼c 371
100 1 ▼a 신혁수, ▼g 申赫秀
245 1 0 ▼a Target localization for distributed MIMO radar systems / ▼d Hyuksoo Shin
260 ▼a Seoul : ▼b Graduate School, Korea University, ▼c 2020
300 ▼a v, 76장 : ▼b 도표 ; ▼c 26 cm
500 ▼a 지도교수: 정원주
502 1 ▼a 학위논문(박사)-- ▼b 고려대학교 대학원: ▼c 컴퓨터·전파통신공학과, ▼d 2020. 2
504 ▼a 참고문헌: 장 72-74
530 ▼a PDF 파일로도 이용가능; ▼c Requires PDF file reader(application/pdf)
653 ▼a Distributed MIMO radar ▼a Ground-based system ▼a Mutli-target localization ▼a Bistatic range ▼a Target localization
776 0 ▼t Target Localization for Distributed MIMO Radar Systems ▼w (DCOLL211009)000000127331
900 1 0 ▼a Shin, Hyuk-soo, ▼e
900 1 0 ▼a 정원주, ▼g 鄭原周, ▼e 지도교수
945 ▼a KLPA

전자정보

No. 원문명 서비스
1
Target localization for distributed MIMO radar systems (21회 열람)
PDF 초록 목차

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/학위논문서고/ 청구기호 0510 6YD36 371 등록번호 123063707 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 2 소장처 과학도서관/학위논문서고/ 청구기호 0510 6YD36 371 등록번호 123063708 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

초록

 This dissertation presents novel single/multi-target localization algorithms for distributed multiple-input multiple-output (MIMO) radars which are equipped by widely separated omni-directional antennas.
 In the first part of this dissertation (chapter 2), we propose novel single-target altitude estimation schemes optimized for ground based MIMO radars with widely separated antennas, where the antennas are located in a plane so that the altitudes of the antennas are close together. For the ground based systems, existing target localization methods based on linear least squares using bistatic range measurements (BRMs) suffer from performance degradation in target altitude estimation and eventually fail in altitude localization for a perfect ground based system where the altitude of antennas are the same. We propose three target altitude estimation schemes based on linear least squares for the ground based systems resolving the drawback of existing algorithms for the ground based systems; extended BRM approach, which estimates the square of target altitude from the auxiliary parameters produced by BRM algorithm, ellipsoid fitting approach, which directly estimates the square of target altitude with other target position information, and extended ellipsoid fitting approach, which utilize the estimation results of ellipsoid fitting approach to improve the target altitude estimation performance. Performance improvement of the proposed algorithms is analyzed in terms of mean squared error (MSE) and simulation results verify the performance.
 In the second part of this dissertation (chapter 3), we develop a novel approach improving existing single-target localization algorithms for distributed multiple-input multiple-output (MIMO) radars based on bistatic range measurements (BRMs). In the proposed algorithms, we estimate the target position with auxiliary parameters consisting of both the target-transmitter distances and the target-receiver distances (hence, “double-sided”) in contrast to the existing BRM methods. Furthermore, we apply the double-sided ap-
proach to multistage BRM methods. Performance improvements are demonstrated via simulations and a limited theoretical analysis is attempted for the ideal two-dimensional case.
 Finally (chapter 4), we propose a novel multi-target localization algorithm with improved resolution for distributed multiple-input multiple-output (MIMO) radar based on bistatic range measurements (BRM). The proposed method groups the BRMs according to the targets based on the geometric property of bistatic ranges (BRs) instead of target positions estimated by using single-target localization algorithms. Since the single-target localization algorithms may have estimation error amplified by the BRM errors, the proposed grouping algorithm enhance the BR grouping performance resulting in improved resolution of multi-target localization and this is confirmed by numerical simulations showing the miss-detection and false-alarm probability of estimated targets.

목차

1 Introduction 1
 1.1 Background 1
  1.1.1 History 1
  1.1.2 Issues of Target Localization for Distriubted MIMO Radar Systems 3
 1.2 Dissertation Outline 4
2 Target Altitude Estimation for Ground-based Systems 6
 2.1 Signal Model and Problem Formulation 7
 2.2 Altitude Estimation Performance of the LS and BRM Methods for Ground-based Systems 10
 2.3 Proposed Target Localization Algorithms for Ground-based Systems 13
  2.3.1 The Extended BRM Method 13
  2.3.2 Ellipsoid-fitting Method 15
  2.3.3 The Extended EF Method 19
 2.4 Numerical Simulation  21
 2.5 Appendix  29
  2.5.1 Appendix A : Antenna Location Assumptions for MSE Derivations 29
  2.5.2 Appendix B : Altitude MSE bound of the extended BRM method 31
  2.5.3 Appendix C : Altitude MSE bound of the EF Method for a perfect ground-based system  33
  2.5.4 Appendix D : Altitude MSE bound of the extended EF Method for a perfect ground-based system  39
3 Target Localization using Double-sided Bistatic Range Measurements 41
 3.1 System Model and Problem Formulation 42
 3.2 The Double-sided BRM Approach  46
  3.2.1 The Double-sided Single-stage BRM Algorithm 46
  3.2.2 The Double-sided Two-stage BRM Algorithms 47
 3.3 Performance Analysis of Double-sided BRM Method for Ideal Target/Antennae Positions 51
 3.4 Numerical Simulation for Practical Target/Antennae Positions  54
4 Multi-target Localization 58
 4.1 System Model  58
 4.2 Proposed Algorithm 60
  4.2.1 Grouping Criterion based on geometric property of BRs 61
  4.2.2 Sequential BR grouping based on the proposed criterion 62
  4.2.3 Errors in multi-target estimation based on BR grouping 65
 4.3 Numerical Simulation  66
5 Conclusion 70
Bibliography 72