آمار
| تعداد نشریات | 36 |
| تعداد شماره‌ها | 1,218 |
| تعداد مقالات | 8,812 |
| تعداد مشاهده مقاله | 7,428,084 |
| تعداد دریافت فایل اصل مقاله | 4,360,230 |
آشکارساز اهداف متحرک زمینی مبتنی بر آزمون نسبت درست‌نمایی تعمیم‌یافته در رادار دهانه مصنوعی تک کاناله با روش نگاشت فضای سیگنال | ||
| رادار | ||
| مقاله 7، دوره 7، شماره 1 - شماره پیاپی 21، شهریور 1398، صفحه 79-91 اصل مقاله (1.25 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| نویسندگان | ||
| مهدی استوان1؛ صادق صمدی2؛ محمدصادق هل فروش* 3 | ||
| 1دانشجوی دکتری دانشگاه صنعتی شیراز | ||
| 2استادیار، دانشگاه صنعتی شیراز | ||
| 3استاد، دانشگاه صنعتی شیراز | ||
| تاریخ دریافت: 22 خرداد 1397، تاریخ بازنگری: 31 شهریور 1398، تاریخ پذیرش: 10 آذر 1398 | ||
| چکیده | ||
| در این مقاله هدف بررسی تئوریک و به‌دست‌آوردن آشکارساز اهداف متحرک زمینی در رادار دهانه مصنوعی تک کاناله مبتنی بر روش‌های تئوری آشکارسازی است. بر این اساس ساختار آشکارساز اهداف متحرک زمینی از سیگنال خام دریافتی رادار دهانه مصنوعی مبتنی بر آزمون نسبت درست‌نمایی تعمیم‌یافته (GLRT) توسعه یافته است. بدین منظور پارامترهای مجهول سیگنال دریافتی از هدف متحرک زمینی شامل مکان در راستای سمت و سرعت هدف در هر دو راستای برد و سمت با تخمین MLجایگزین شده و سپس آزمون نسبت درست‌نمایی تعمیم‌یافته انجام می‌گردد که منجر به ساختار آشکارساز تخمین‌گر- همبسته ساز می‌گردد. تخمین پارامترهای مجهول سیگنال بازگشتی هدف که در ساختار آشکارساز پیشنهادی استفاده می‌گردد، نیازمند بهینه‌سازی یک تابع هدف از طریق جستجوی شبکه‌ای در فضای چند بعدی پارامترهای نامعلوم سیگنال بازگشتی است. جهت کاهش بار محاسباتی این جستجوی شبکه‌ای حجیم چند بعدی، از نگاشت فضای چند بعدی سیگنال دریافتی به چند فضای یک بعدی کاملاً معادل بهره جسته‌ایم. کارایی روش پیشنهادی بر اساس نتایج شبیه‌سازی با رسم منحنی‌های عملکرد آشکارساز و همچنین محاسبه بار محاسباتی نشان داده شده است. | ||
| کلیدواژه‌ها | ||
| رادار دهانه مصنوعی؛ آشکارساز نسبت درست‌نمایی تعمیم‌یافته؛ آشکارسازی هدف متحرک زمینی؛ جستجوی شبکه‌ای؛ نگاشت فضای سیگنال | ||
| عنوان مقاله [English] | ||
| Ground Moving Target Indicator Based on Generalized Likelihood Ratio Test (GLRT) in Single Channel SAR using Signal Space Mapping Method | ||
| نویسندگان [English] | ||
| M. Ostovan1؛ S. Samadi2؛ M. S. Helforoush3 | ||
| 1Ph.d. Student Shiraz University of Technology | ||
| 2Assistant Professor, Shiraz University of Technology | ||
| 3Professor, Shiraz University of Technology. | ||
| چکیده [English] | ||
| In this paper, the goal is theoreticaly investigating and presenting a ground moving target detector in single channel SAR based on detection theory methods. Accordingly, the detector structure for ground moving targets has been developed based on generalized likelihood ratio test (GLRT) from raw received signal. For this purpose, unknown parameters of the ground moving target’s returned signal, including azimuth location and velocity in both azimuth and range directions are replaced with their ML estimations. Then, generalized likelihood ratio test is performed which leads to estimator-correlator detection structure. Estimation of the unknown parameters of the target reflectivity which is necessary for the proposed detector, needs optimization of an objective function through a grid search in multidimensional space of the unknown reflectivity parameters. To reduce the computational load of this massive multidimensional grid search, conversion of the multidimensional received signal space to equivalent several 1D spaces is used. Effectiveness of the proposed method is demonstrated through experimental results by evaluation of detection performance curves. | ||
| کلیدواژه‌ها [English] | ||
| Synthetic Aperture Radar (SAR), Generalized Likelihood Ratio Test (GLRT), Ground Moving Target Indication, Grid Search, Signal Space Mapping | ||
| مراجع | ||
|
[1] S. Hinz, F. Meyer, M. Eineder, and R. Bamler, “Traffic monitoring with spaceborne SAR—Theory, simulations, and experiments,” Comput. Vis. Image Understand., vol. 106, no. 2/3, pp. 231–244, May/Jun. 2007.## [2] S. K. Wong, “High range resolution profiles as motion-invariant features for moving ground targets identification in SAR-based automatic target recognition,” IEEE Trans. Aerosp. Electron. Syst., vol. 45, no. 3, pp. 1017–1039, Jul. 2009.## [3] S. Brusch et al., “Ship surveillance with TerraSAR-X,” IEEE Trans. Geosci. Remote Sens., vol. 49, no. 3, pp. 1092–1103, Mar. 2011.## [4] F. Bovolo, C. Marin, and L. Bruzzone, “A hierarchical approach to change detection in very high resolution SAR images for surveillance applications,” IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2042–2054, Apr. 2013.## [5] S. M. Zabihi Maddah and S. A. Seyedein, “Estimation of Ground Moving Target Parameters in Squint Single-Antenna Synthetic Aperture Radar,” Journal of Radar, vol. 4, no. 4, pp. 49-63, 2017. (In Persian)## [6] J. J. Sharma, C. H. Gierull, and M. J. Collins, “Compensating the effects of target acceleration in dual-channel SAR-GMTI,” Proc. Inst. Elect. Eng.—Radar Sonar Navig., vol. 153, no. 1, pp. 53–62, Feb. 2006.## [7] J. Sharma, C. Gierull, and C. Collins, “The influence of target acceleration on velocity estimation in dual-channel SAR-GMTI,” IEEE Trans. Geosci. Remote Sens., vol. 44, no. 1, pp. 134–147, Jan. 2006.## [8] C. H. Gierull, “Ground moving target parameter estimation for two channel SAR,” Proc. Inst. Elect. Eng.—Radar Sonar Navig., vol. 153, no. 3, pp. 224–233, Jun. 2006.## [9] D. Cerutti-Maori and I. Sikaneta, “Optimum GMTI Processing for Spacebased SAR/GMTI Systems Theoretical Derivation,” In Proc. 8th EUSAR, pp. 390–393, Jun. 2010.## [10] M. Gisselfält and T. Pernstål, “STAP analysis using multi-channel airborne radar data from flight trials,” In Proc. IEEE Radar Conf., pp. 407–411, May 2010.## [11] S. Zhu, G. Liao, Y. Qu, Z. Zhou, and X. Liu, “Ground moving targets imaging algorithm for synthetic aperture radar,” IEEE Trans. Geosci. Remote Sens., vol. 49, no. 1, pp. 462–477, Jan. 2011.## [12] B. Guo, D. Vu, L. Xu, and J. Li, “Ground moving target indication via multi-channel airborne SAR,” IEEE Trans. Geosci. Remote Sens., vol. 49, no. 10, pp. 3753–3764, Oct. 2011.## [13] C. H. Gierull, I. Sikaneta, and D. Cerutti-Maori, “Two-step detector for RADARSAT-2’s experimental GMTI mode,” IEEE Trans. Geosci. Remote Sens., vol. 51, no. 1, pp. 436–454, Jan. 2013.## [14] T. K. Sjögren et al., “Suppression of clutter in multichannel SAR GMTI,” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 7, pp. 4005-4013, Jul. 2014.## [15] J. R. Fienup, “Detecting moving targets in SAR imagery by focusing,” IEEE Trans. Aerosp. Electron. Syst., vol. 37, no. 3, pp. 794–809, Jul. 2001.## [16] J. M. B. Dias and P. A. C. Marques, “Multiple moving target detection and trajectory estimation using a single SAR sensor,” IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 2, pp. 604–624, Apr. 2003.## [17] D. Weihing, S. Hinz, F. Meyer, A. Laika, and R. Bamler, “Detection of a long track ground moving targets in high resolution spaceborne SAR images,” ISPRS J. Photogramm. Remote Sens., vol. 61, no. 3/4, pp. 135–140, Dec. 2006.## [18] P. A. C. Marques and J. M. B. Dias, “Moving targets processing in SAR spatial domain,” IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 3, pp. 864–874, Jul. 2007.## [19] D. Pastina, G. Battistello, and A. Aprile, “Change detection based GMTI on single channel SAR images,” In Proc. 7th EUSAR, pp. 1–4, Jun. 2008.## [20] G. Li, X. Xia, J. Xu, and Y. Peng, “A velocity estimation algorithm of moving targets using single antenna SAR,” IEEE Trans. Aerosp. Electron. Syst., vol. 45, no. 3, pp. 1052–1062, Jul. 2009.## [21] O. Dogan and M. Kartal, “Efficient strip-mode SAR raw-data simulation of fixed and moving targets,” IEEE Geosci. Remote. Sens. Lett., vol. 8, no. 5, pp. 884–888, Sep. 2011.## [22] J. Wang and X. Liu, “Velocity estimation of moving targets using SAR,” in Proc. IEEE IGARSS, pp. 340–343, Jun. 2011.## [23] G. Lv, J. Wang, and X. Liu, “Ground moving target indication in SAR images by symmetric defocusing,” IEEE Geosci. Remote. Sens. Lett., vol. 10, no. 2, pp. 241–245, Mar. 2013.## [24] R. Raney, “Synthetic aperture imaging radar and moving targets,” IEEE Trans. Aerosp. Electron. Syst., vol. AES-7, no. 3, pp. 499–505, May 1971.## [25] S. V. Baumgartner and G. Krieger, “Fast GMTI Algorithm for Traffic Monitoring Based on a priori Knowledge,” IEEE Trans. Geosci. Remote Sens., vol. 50, no. 11, pp 4626–4641, Nov. 2012.## [26] D. Cristallini, P. Lombardo, D. Pastina, and A. Mennella, “Chirp Scaling Based Detection of Moving Targets in SAR Images,” IGARSS, 2009.## [27] S. M. Kay, “Fundamentals of Statistical Signal Processing volume II: Detection Theory,” Prentice Hall PTR, Upper Saddle River, New Jersey 07458, pp. 473-477, 1998.## [28] C. H. Gierull and I. C. Sikaneta, “Estimating the effective number of looks in interferometric SAR data,” Submitted to IEEE Trans. Geosci. and Rem. Sens., February 2002.## [29] C. H. Gierull, “Statistics of SAR interferograms with application to moving target detection,” Technical Report TR 2001-045, Defence Research and Development Canada, July 2001.## [30] I. R. Joughin, D. P. Winebrenner, and D. B. Percival, “Probablility density functions for multilook polarimetric signatures,” IEEE Trans. Geosci and Rem. Sens., vol. 32, no. 3, pp. 562-574, May 1994.## [31] A.V. Oppenheim, R. W. Schafer, and J. R. Buck, “Discrete-Time Signal Processing,” Upper Saddle River, New Jersey, Prentice Hall, 1998.## [32] I. G. Cumming and F. H. Wong, “Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation,” London, U.K.: Artech House, 2005.## [33] X. Ruipeng, Q. Xiaolan, H. Donghui, and D. Chibiao, “A novel single-channel SAR-GMTI method based on defocusing shifted difference,” 2010 2nd International Conference on Signal Processing Systems, Dalian, pp. V3-83-V3-86, 2010.## [34] S.M. Kay, “Fundamentals of Statistical Signal Processing volume II:Estimation Theory,” Prentice Hall PTR, Upper Saddle River, New Jersey 07458, pp. 473-477, 1998.## [35] G. Yu, M. Yu, C. Xu, "General linear chirplet transform", Mech. Syst. Signal Process., vol. 70/71, pp. 958-973, Mar. 2016.## [36] L. B. Almeida, “The Fractional Fourier Transform and Time-Frequency Representations,” In IEEE Transactions on Signal Processing, vol. 42, no. 11, pp. 3084-3091, Nov. 1994.## [37] A. Serbes and O. Aldimashki, “A fast and accurate chirp rate estimation algorithm based on the fractional Fourier transform,” 2017 25th European Signal Processing Conference (EUSIPCO), Kos, pp. 1105-1109, 2017.## [38] Hong-Bo Sun, Guo-Sui Liu, Hong Gu, and Wei-Min Su, “Application of the fractional Fourier transform to moving target detection in airborne SAR,” In IEEE Transactions on Aerospace and Electronic Systems, vol. 38, no. 4, pp. 1416-1424, Oct. 2002.## [39] F. Xu, Q. Bao, Z. Chen, S. Pan, and C. Lin, “Parameter Estimation of Multi-Component LFM Signals Based on STFT+Hough Transform and Fractional Fourier Transform,” 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi'an, pp. 839-842, 2018.## [40] W. Q. Wang, “Moving Target Indication via Three-Antenna SAR with Simplified Fractional Fourier Transform,” EURASIP Journal on Advances in Signal Processing 2011, 2011.## | ||
|
آمار تعداد مشاهده مقاله: 568 تعداد دریافت فایل اصل مقاله: 311 |
||