• Title/Summary/Keyword: Bistatic Radar

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A Study on the Target Recognition Using Bistatic Measured Radar Signals (바이스태틱 레이다 측정 신호를 이용한 표적 인식에 관한 연구)

  • Lee, Sung-Jun;Lee, Seung-Jae;Choi, In-Sik
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.8
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    • pp.1002-1009
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    • 2012
  • This paper shows the research about radar target recognition using the measured radar signals from MSU(Michgan State University) bistatic radar system. In this research, we first did the bistatic measurements at $30^{\circ}$, $60^{\circ}$, $90^{\circ}$ using F-14, Mig-29, and F-22 scale models. Then, we extract the target feature vectors using time-frequency analysis methods such as STFT(Short Time Fourier Transform) and CWT(Continous Wavelet Transform) and perform the target classification test using MLP(Multi-layerd Perceptron) neural network. The results show that the target classification performance is too much dependent on the bistatic angles and the best performance is obtained at the $60^{\circ}$ bistatic angle.

A Study on Effective Identification of Targets Flying in Formation ISAR Images (ISAR 영상을 이용한 효과적인 편대비행 표적식별 연구)

  • Cha, Sang-Bin;Choi, In-Oh;Jung, Joo-Ho;Park, Sang-Hong
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.1
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    • pp.67-76
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    • 2022
  • Monostatic/Bistatic inverse synthetic aperture radar (ISAR) images are two-dimensional radar cross section (RCS) distributions of a target. When there are many targets in a single radar beam, ISAR images are generated with targets overlapped, so it is difficult to perform the targets identification using the trained database. In addition, it is inefficient to perform target identification using only single monostatic and bistatic ISAR images separately because each method has its own advantages and weaknesses. Therefore, this paper analyzes multiple targets identification performances using monostatic/bistatic ISAR images and proposes a method of identification through fusion of two ISAR images. To identify multiple targets, we use image combination technique using trained single target images. Simulation results show effectiveness of proposed method.

M&S Tool for Analysis of Detection Coverage and Target Localization in Bistatic Radar Systems (바이스태틱 레이더의 탐지 커버리지 분석 및 표적 위치 산출을 위한 M&S Tool)

  • Park, Jung-Hee;Lee, Won-Woo;Yoo, Jin-Cheol;Yang, Hoon-Gee;Chung, Young-Seek;Bae, Kyung-Bin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.5
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    • pp.904-912
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    • 2011
  • In this paper, we have proposed a M&S tool for analyzing detection coverage and target localization in bistatic radar system. The detection coverage determined by radar parameters is meaningful when it satisfies the clear line-of-sight condition. We improved the method to find the minimum altitudes of transmitter and receiver for meeting the condition by considering three-dimensional coverage. Its computational burden is not problematic because the calculation is for maximizing the performance of the radar and does not demand a real-time operation. In addition, target localization on three-dimensional earth model based on the information of the height, longitude, and latitude is proposed instead of the previous unpractical calculation on two-dimensional bistatic plane. Its precalculated result can reduce its computation burden and it is suitable for real-time estimation of target location.

Imaging Method in Time Domain for Bistatic Forward-Looking Radar in Short Range Application (근거리 Bistatic 전방 관측 레이다의 시간 영역 영상화 기법)

  • Sun, Sun-Gu;Cho, Byung-Lae;Lee, Jung-Soo;Park, Gyu-Churl;Ha, Jong-Soo;Han, Seung-Hoon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.11
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    • pp.1054-1062
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    • 2011
  • This study describes the time domain imaging algorithm which can be well applied to short-range UWB(ultra wideband) bistatic radar. In the imaging method of SAR technology, the frequency domain method is well applied to the areas which satisfy far-field condition. However in the near-field environment, the image quality is not good due to phase error. However back-projection method based on time domain is well applied to short-range imaging radar. Meanwhile because its processing time is very long, real time-processing is very difficult. To resolve this problem FFBP(Fast Factorized Back-Projection) was proposed. Using the raw data gathered on field we implemented back-projection and FFBP method. Then image quality and processing time were analyzed using these methods.

Analysis of Target Identification Performances Using Bistatic ISAR Images (바이스태틱 ISAR 영상을 이용한 표적식별 성능 분석)

  • Lee, Seung-Jae;Lee, Seong-Hyeon;Kang, Min-Seok;Yang, Eunjung;Kim, Kyung-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.6
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    • pp.566-576
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    • 2016
  • Inverse synthetic aperture radar(ISAR) image generated from bistatic radar(Bi-ISAR) represents two-dimensional scattering distribution of a target, and the Bi-ISAR can be used for bistatic target identification. However, Bi-ISAR has large variability in scattering mechanisms depending on bistatic configurations and do not represent exact range-Doppler information of a target due to inherent distortion. Thus, an efficient training DB construction is the most important factor in target identification using Bi-ISARs. Recently, a database construction method based on realistic flight scenarios of a target, which provides a reliable identification performance for the monostatic target identification, was applied to target identification using high resolution range profiles(HRRPs) generated from bistatic radar(Bi-HRRPs), to construct efficient training DB under bistatic configurations. Consequently, high identification performance was achieved using only small amount of training Bi-HRRPs, when the target is a considerable distance away from the bistatic radar. Thus, flight scenarios based training DB construction is applied to target identification using Bi-ISARs. Then, the capability and efficiency of the method is analyzed.

Maximum Power Waveform Design for Bistatic MIMO Radar System

  • Shin, Hyuksoo;Yeo, Kwang-Goo;Yang, Hoongee;Chung, Youngseek;Kim, Jongman;Chung, Wonzoo
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.4
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    • pp.167-172
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    • 2014
  • In this paper we propose a waveform design algorithm that localizes the maximum output power in the target direction. We extend existing monostatic radar optimal waveform design schemes to bistatic multiple-input multiple-output (MIMO) radar systems. The algorithm simultaneously calculates the direction of departure (DoD) and the direction of arrival (DoA) using a two-dimensional multiple signal classification (MUSIC) method, and successfully localizes the maximum transmitted power to the target locations by exploiting the calculated DoD. The simulation results confirm the performance of the proposed algorithm.

Range Walk Compensated Squint Cross-Range Doppler Processing in Bistatic Radar (바이스태틱 레이더에서 Range Walk이 보상된 Squint Cross-Range 도플러 프로세싱)

  • Youn, Jae-Hyuk;Kim, Kwan-Soo;Yang, Hoon-Gee;Chung, Yong-Seek;Lee, Won-Woo;Bae, Kyung-Bin
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.11
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    • pp.1141-1144
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    • 2011
  • Range walk has been a major problem in achieving correct Doppler processing. This frequently occurs when range variation is severe just like in a bistatic radar or in high speed target scenario. This paper presents a range walk compensated range-Doppler processing algorithm applicable to the bistatic radar. In order for the compensation, a range-domain interpolation is applied for range compressed signal so that Doppler processing is performed along the evenly time-spaced range bins that contain target returns. Under a bistatic radar scenario, the proposed algorithm including a range domain pulse compression is mathematically described. Finally, the validity of the algorithm is demonstrated by simulation results showing the superiority of a SCDP(Squint Cross-range Doppler Processing) over an uncompensated Doppler processing.

Closed-Form Expression of Approximate ML DOA Estimates in Bistatic MIMO Radar System (바이스태틱 MIMO 레이다 시스템에 적용되는 ML 도래각 추정 알고리즘의 근사 추정치에 대한 Closed-Form 표현)

  • Paik, Ji Woong;Kim, Jong-Mann;Lee, Joon-Ho
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.11
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    • pp.886-893
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    • 2017
  • Recently, for detection of low-RCS targets, bistatic radar and multistatic radar have been widely employed. In this paper, we present the process of deriving the received signal modeling of the bistatic MIMO radar system and deals with the performance analysis of applying the bistatic signal to the ML arrival angle estimation algorithm. In case of the ML algorithm, as the number of the targets increases, azimuth search dimension for DOA estimation also increases, which implies that the ML algorithm for multiple targets is computationally very intensive. To solve this problem a closed-form expression of estimation error is presented for performance analysis of the algorithm.

Bistatic ISAR Imaging with UWB Radar Employing Motion Compensation for Time-Frequency Transform (시간-주파수 변환에 요동보상을 적용한 UWB 레이다 바이스테틱 ISAR 이미징)

  • Jang, Moon-Kwang;Cho, Choon-Sik
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.26 no.7
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    • pp.656-665
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    • 2015
  • In this paper, we improved the clarity and quality of the radar imaging by applying motion compensation for time-frequency transform in B-ISAR imaging. The proposed motion compensation algorithm using UWB radar is verified. B-ISAR algorithm procedure and time-frequency transform for improved motion compensation are provided for theoretical ground. The image was created by a UWB Radar B-ISAR imaging algorithm method. Also, creating a B-ISAR imaging algorithm for motion compensation of time-frequency transformation method was used. The B-ISAR Imaging algorithm is implemented using STFT(Short-Time Fourier Transform), GWT(Gabor Wavelet Transform), and WVD(Wigner-Ville Distribution) approaches. The performance of STFT is compared with the GWT and WVD algorithms. It is found that the WVD image shows more clarity and decreased spread phenomenon than other methods.

Imaging Method for Array Structured Bistatic Ground-to-Air Radar (배열 구조 바이스태틱 지대공 레이다의 이미징 기법)

  • Choi, Sang-Hyun;Yang, Dong-Hyeuk;Song, Ji-Min;Yang, Hoon-Gee
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.29 no.8
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    • pp.599-607
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    • 2018
  • This paper presents a ground-to-air bistatic radar system and its implementation algorithm, which resembles an SAR(synthetic aperture radar) reconstruction algorithm. Via cooperative working between a standoff transmitting radar and an array of ground based receiving radars, it detects and images moving targets under clutter in the air. In the proposed system, the whole receiving antenna aperture is synthesized by physical ground based radars, and thus, unlike conventional SAR, it does not require long illumination time of the target area. The reconstruction algorithm uses planewave approximation based polar format processing, which alleviates the requirement of positioning the receiving radars, which can cause grating lobes if not chosen properly. We derive a reconstruction algorithm including clutter suppression and discuss implementation issues, such as the resolution of a reconstructed image and the method of compensation for the irregularity of the receiving radars' positions. A simulation that validates the proposed algorithm is also shown.