• Title/Summary/Keyword: Distributed MIMO Radar

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Blind Waveform Estimation Scheme Based on ESPRIT for Nonuniform Linear Array MIMO Radars Using Distributed Multiple Electronic Sensors (분산 다중 전자전 센서를 이용한 ESPRIT 기반 비등간격 선형배열 MIMO 레이다의 암맹 직교신호 분리 기법)

  • Yeo, Kwanggoo;Chung, Wonzoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.11
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    • pp.891-897
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    • 2018
  • In this paper, we propose a blind estimation scheme for the antenna spacing of nonuniform linear array MIMO radar using distributed electronic sensors based on ESPRIT. We present a blind method to separate orthogonal waveforms of a MIMO radar based on the antenna spacing estimation. The estimated orthogonal waveforms of a MIMO radar can be used for disabling opponent MIMO radars.

Development of Federated Learning based Motion Recognition Algorithm using Distributed FMCW MIMO Radars (연합 학습 기반 분산 FMCW MIMO Radar를 활용한 모션 인식 알고리즘 개발 및 성능 분석)

  • Kang, Jong-Sung;Lee, Seung-Ho;Lee, Jeonghan;Yang, YunJi;Park, Jaehyun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.3
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    • pp.139-148
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    • 2022
  • In this paper, we implement a distributed FMCW MIMO radar system to obtain Micro Doppler signatures of target motions. In addition, we also develop federated learning based motion recognition algorithm based on the Micro-Doppler radar signature collected by the implemented FMCW MIMO radar system. Through the experiment, we have verified that the proposed federated learning based algorithm can improve the motion recognition accuracy up to 90%.

Iterative Target Localization Method for Distributed MIMO Radar System (반복적 연산을 이용하는 Distributed MIMO 레이다 시스템의 위치 추정 기법)

  • Shin, Hyuksoo;Chung, Young-Seek;Yang, Hoon-Gee;Kim, Jong-mann;Chung, Wonzoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.10
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    • pp.819-824
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    • 2017
  • This paper presents a target localization scheme for distributed Multi-input Multi-output(MIMO) radar system using ToA measurements obtained from multiple transmitter and receiver pairs. The proposed method can locate the target from an arbitrary initial point by iteratively finding the Taylor linear approximation equation. The simulation results show that proposed method achieves the better mean square error(MSE) performance than the existing target localization methods, and furthermore, attains Cramer-Rao Lower Bound(CRLB).

Blind Parameter Estimation Schemes for Uniform Linear Array MIMO Radars Using Distributed Multiple Electronic Sensors (분산 다중 전자전 센서를 이용한 등 간격 선형 배치 MIMO 레이다 파라미터의 암맹 추정 기법)

  • Kim, Dong-Hyun;Lee, Jae-Hoon;Song, Jong-In;Chung, Wonzoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.8
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    • pp.619-627
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    • 2017
  • MIMO(Multi-Input Multi-Output) radar is an emerging radar technology for its numerous advantages. However, in the electric warfare viewpoint, MIMO radar is a new developed radar technology for that existing parameter estimation cannot applied and a new radar parameter estimation based on the characteristics of MIMO radar is desired. In this paper, we propose a blind estimation scheme for the number of orthogonal waveforms of a uniform linear array(ULA) MIMO radar using minimum two electronic sensors.

Signal-Space Jamming Scheme for Disturbing Target Localization of Bistatic MIMO Radar System (바이스태틱 MIMO 레이다 시스템의 위치탐지 무력화를 위한 신호공간 재밍 기법)

  • Yeo, Kwanggoo;Chung, Wonzoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.11
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    • pp.878-883
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    • 2018
  • A jamming design scheme to disturb target position estimation of a bistatic multiple-input multiple-output(MIMO) radar system is presented. The proposed method exploits the received signals from distributed multiple electronic sensors and combines them to produce a jamming signal. The proposed algorithm can eliminate the target by transmitting the delayed sum or the weighted sum of the received senor signals. Simulation results confirm the performance of the proposed method.

Performance Analysis of Distributed Antenna Systems with Antenna Selection over MIMO Rayleigh Fading Channel

  • Yu, Xiangbin;Tan, Wenting;Wang, Ying;Liu, Xiaoshuai;Rui, Yun;Chen, Ming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.9
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    • pp.3016-3033
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    • 2014
  • The downlink performance of distributed antenna systems (DAS) with antennas selection is investigated in Rayleigh fading multicell environment, and the corresponding system capacity and bit error rate (BER) analysis are presented. Based on the moment generating function, the probability density function (PDF) and cumulative distribution function (CDF) of the effective signal to interference plus noise ratio (SINR) of the system are first derived, respectively. Then, with the available CDF and PDF, the accurate closed-form expressions of average channel capacity and average BER are further derived for exact performance evaluation. To simplify the expression, a simple closed-form approximate expression of average channel capacity is obtained by means of Taylor series expansion, with the performance results close to the accurate expression. Besides, the system outage capacity is analyzed, and an accurate closed-form expression of outage capacity probability is derived. These theoretical expressions can provide good performance evaluation for DAS downlink. It can be shown by simulation that the theoretical analysis and simulation are consistent, and DAS with antenna selection outperforms that with conventional blanket transmission. Moreover, the system performance can be effectively improved as the number of receive antennas increases.