• Title/Summary/Keyword: radar signal processing

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Antenna Array Compensation for Improved DOA Estimation (도래각 추정 성능 향상을 위한 배열 안테나 보정 기법)

  • Song, Heemang;Cho, Seunghoon;Lee, Jaeeun;Jeong, Seonghee;Shin, Hyun-Chool
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.5
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    • pp.786-791
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    • 2015
  • This paper presents a signal processing method for calibrating an antenna array to solve the inaccuracy of Direction of Arrival(DOA). Using reference data quantifying amplitude and phase distortion levels for each angles, we compensate each radar array’s amplitude and phase distortion. The proposed method is applied to the Bartlett, Capon and MUSIC algorithms, Using 77 GHz Frequency Modulated Continuous Wave(FMCW) Long Range Radar(LRR) signal, we experimentally demonstrate the performance improvement after the proposed compensation.

Detection of Road Features Using MRF in Radar Images (MRF를 이용한 레이더 영상에서 도로검출)

  • 김순백;정래형;김두영
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.08a
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    • pp.221-224
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    • 2000
  • We propose an algorithm for almost unsupervised detection of linear structures, in particular, axes in road network and river, as seen in synthetics aperture radar (SAR) images. The first is local step and used to extract linear features from the speckle radar image, which are treated as road segment candidates. We present two local line detectors as well as a method for fusing information from these detectors. The second is global step, we identify the real roads among the segment candidates by defining a Markov random field (MRF) on a set of segments, which introduces contextual knowledge about the shape of road objects.

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Road Condition Measurement using Radar Cross Section of Radar (레이더의 유효 반사전력을 이용한 도로 상태 측정)

  • Park, Jae-Hyoung;Lee, Jae-Kyun;Lee, Chae-Wook;Lee, Nam-Yong
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.2
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    • pp.150-156
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    • 2011
  • Smart Highway is a next generation highway that significantly improves a traffic safety, reduces incidence of traffic accidents, and supports intelligent and convenient driving environments so that drivers can drive at high speeds in safety. In order to implement smart highway, it is required to gather a large amount of data including conditions of a road and the status of vehicles, and other useful data. To provide situation information of highway, it has been gathered traffic information using optical sensors(CCTV, etc.). However, this technique has problems such as the problem of information gathering, lack of accuracy depending on weather conditions and limitation of maintenance. It needs radar system which has not effect on environmental change and algorithm processing technique in order to provide information for a safety driving to driver and car. In this paper, it is used radar with 9.4GHz to test performance of a road surface and developed radar system for detecting test. And we compared and analyzed a performance of data acquired from each radar through computer simulation.

Non-stationary signal analysis by Continuous Wavelets Transform (웨이브렛 변환을 이용한 비정상 신호의 순간 주파수 결정)

  • Cho, Ig-hyun;Lee, In-Soo;Yoon, Dong-han
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.2
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    • pp.29-36
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    • 2009
  • The analysis of Radar signal, telecommunication, bioengineering, seismic, and acoustic signal is consist of the Non-stationary signal which has non-linear phase variation. Non-stationary signal means that the physical properties of signal depend on time variation and the instantaneous frequency represents physical property of these type of signal. Thus estimation of the instantaneous frequency of non-stationary signal is important subject in signal processing. In this work, the instantaneous frequency analysis method utilizing continuous wavelets transform is represented and compared with Hilbert Transform method.

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A Design Method for Pre-Distortion Compensation of SAR Chirp Signal based on Envelop Sampling and Interpolation Filter (위성 탑재 영상레이다 첩 신호의 전치왜곡 보상을 위한 포락선 샘플링 및 보간 필터 기반의 설계 기법)

  • Lee, Young-Bok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.4
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    • pp.347-354
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    • 2022
  • The synthetic aperture radar(SAR) is an equipment that can acquire images in all weathers day and night based on radar signals. The on-board processor of satellite SAR generates transmission signal by digital signal processing, converts it into an analog signal and transmits to antenna. Until the transmission signal generated by on-board processor is output, the signal passes the transmission cables and analog devices. At this time, these hardware distort the signal and makes SAR performance worse. To improve the performance, pre-distortion technique is used. But, general pre-distortion using taylor series is not sufficient to compensate for the distortion. This paper suggests transmit signal design method with improved pre-distortion. This paper uses envelop sampling method and interpolation filter for frequency domain compensation. The proposed method accurately compensates the hardware distortion and reduces resource usage of FPGA. To analyze proposed method's performance, IRF characteristics are compared when the proposed method applies to signal with errors.

An Implementation of Interferometric Radar Altimeter Simulator (간섭계 레이더 고도계용 시뮬레이터 구현)

  • Paek, Inchan;Lee, Sangil;Yoo, Kyungju;Jang, Jong Hun
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.26 no.1
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    • pp.81-87
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    • 2015
  • We present an implementation result of a computer GUI-based simulator using MATLAB to verify the performance of interferometric radar altimeter(IRA) which is possible to measure the slant range altitude and the cross-track angle to the nearest point for terrain aided navigation(TAN). After a brief description of the principle of TAN and IRA, we present that the grids are divided for the modeling of the reflected signal in digital elevation map(DEM) and so the radar cross section(RCS) of each grid is calculated and the signal-noise ratio(SNR) of the reflected signal in the radar beam width. And the signal processing procedures of the IRA and the structure of the IRA simulator are shown.

Side Looking Vehicle Detection Radar Using A Novel Signal Processing Algorithm (새로운 신호처리 알고리즘을 이용한 측방설치 차량감지용 레이다)

  • Kang Sung Min;Kim Tae Young;Choi Jae Hong;Koo Kyung Heon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.12
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    • pp.1-7
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    • 2004
  • We have developed a 24GHz side-looking vehicle detection radar. A 24GHz front-end module and a novel signal processing algorithm have been developed for speed measurement and size classification of vehicles in multiple lanes. The system has a fixed antenna and FMCW processing module. This paper presents the background theory of operation and shows some measured data using the algorithm. The data shows that measured velocity of the passing vehicle is within the accuracy of 95% in single lane and the velocity of the vehicles in two lanes is within the accuracy of 90% by using variable threshold estimation. The classification of vehicle size as small, medium and large has been measured with 89% accuracy.

Signal Processing for Pulse Induction Metal Detector (자성센서 기반 지뢰탐지기를 위한 신호처리)

  • Shin, Beom-Su;Yang, DongWon;Jung, Byung-Min
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.532-538
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    • 2018
  • This paper proposes an algorithm for signal processing which is used in pulse induction metal mine detectors. The detection power can be obtained from magnetic variation on the search coil. The calibration data should be made when there is no target because the detection power is difference between with and without a target. And it is also updated periodically because of surrounding various noises. Lastly, we keep a watch on the signal slope to identify exact position and signal power of mine detection.

Segmentation-based Signal Processing Algorithm for Vehicle Detection (차량검지를 위한 세그먼트에 기반을 둔 신호처리 알고리즘)

  • Ko, Ki-Won;Woo, Kwang-Joon
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.306-308
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    • 2005
  • The vehicle detection method using pulse radar has the advantage of maintenance in comparison with loop detection method. We have the information about the vehicle being and position by dividing the signals into sectors in accordance with SSC method, and by applying the discriminant function based on stochastical data. We also reduce the signal processing time.

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Multi-mode Radar Signal Sorting by Means of Spatial Data Mining

  • Wan, Jian;Nan, Pulong;Guo, Qiang;Wang, Qiangbo
    • Journal of Communications and Networks
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    • v.18 no.5
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    • pp.725-734
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    • 2016
  • For multi-mode radar signals in complex electromagnetic environment, different modes of one emitter tend to be deinterleaved into several emitters, called as "extension", when processing received signals by use of existing sorting methods. The "extension" problem inevitably deteriorates the sorting performance of multi-mode radar signals. In this paper, a novel method based on spatial data mining is presented to address above challenge. Based on theories of data field, we describe the distribution information of feature parameters using potential field, and makes partition clustering of parameter samples according to revealed distribution features. Additionally, an evaluation criterion based on cloud model membership is established to measure the relevance between different cluster-classes, which provides important spatial knowledge for the solution of the "extension" problem. It is shown through numerical simulations that the proposed method is effective on solving the "extension" problem in multi-mode radar signal sorting, and can achieve higher correct sorting rate.