|Table of Contents|

[1] Jia Zhen, Li Jianqing,. Multi-target range and velocity measurementsof a digital phased array radar system [J]. Journal of Southeast University (English Edition), 2018, 34 (4): 459-465. [doi:10.3969/j.issn.1003-7985.2018.04.007]

Multi-target range and velocity measurementsof a digital phased array radar system()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2018 4
Research Field:
Computer Science and Engineering
Publishing date:


Multi-target range and velocity measurementsof a digital phased array radar system
Jia Zhen1 Li Jianqing2
1Jiangsu Automation Research Institute, Lianyungang 222061, China
2School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
phased array radar echo pulse compression moving target
As the core of a digital phased array radar system, a radar signal processing environment is created to measure multi-target range and velocity information. The radar echo signal is achieved by superposing target echo, noise, clutter and jamming signals linearly. Considering that these signals have many types, two typical combinations are selected to construct the multi-target echo signal and the simulated echo signal is used as the input of the signal processing environment. This environment mainly adopts pulse compression, moving target indication and detection technologies to process the echo signal. It is found that the frequency domain method is more desirable for the pulse compression effect than the time domain method, and multi-target range information can be measured from the moving target indication result after using a double delay canceller. A new moving target detecting method is proposed, which can present the positive and negative velocity accurately with the multi-target range and velocity measured simultaneously. Simulation results indicate that the potential targets are detected from the chaotic radar echo signals successfully, and their range and velocity can be figured out correctly in the built radar signal processing environment.


[1] Wang T, Wan X, He J. Simulation of phased array radar systems [J]. Computers and Modernization, 2014, 2(47): 209-218.
[2] Talisa S H, O’Haver K W, Comberiate T M, et al. Benefits of digital phased array radars [J]. Proceedings of the IEEE, 2016, 104(3): 530-543.DOI:10.1109/jproc.2016.2515842.
[3] Jia Z, Zhou R. Analysis and simulation of multi-target echo signals from a phased array radar [C]//2017 International Conference on Electronic Information Technology and Computer Engineering. Zhuhai, China, 2017, 128: 02005-1-02005-5.DOI:10.1051/matecconf/201712802005.
[4] He Y, Wang H, Wang L. Design and implementation of radar signal processing system based on design patterns [C]//The 8th International Symposium on Computational Intelligence and Design. Hangzhou, China, 2015, 104: 85-88.
[5] Manna M L, Fuhrmann D R. Hybrid-MIMO and phased array receive signal processing [C]//2016 IEEE Radar Conference. Philadelphia, USA, 2016: 1-4.
[6] Kikuchi H, Yoshikawa E, Ushio T, et al. Adaptive pulse compression technique for X-band phased array weather radar [J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(10): 1810-1814.DOI:10.1109/lgrs.2017.2737032.
[7] Li X, Du J S. Performance optimization algorithm of radar signal processing system[J]. Cluster Computing, 2017, 20(1): 359-370. DOI:10.1007/s10586-016-0710-6.
[8] Baig N A, Hussain A. Radar signal processing for target range Doppler and DoA estimation [C]//The 14th International Bhurban Conference on Applied Sciences & Technology. Islamabad, Pakistan, 2017: 820-825.
[9] Wu W, He C, Zhang W, et al. Research on multi-resolution modeling and simulation of radar signal processing system [C]//The 13th IEEE International Conference on Signal Processing. Chengdu, China, 2016: 1493-1497.
[10] Cooper K B, Durden S L, Cochrane C J, et al. Using FMCW doppler radar to detect targets up to the maximum unambiguous range[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(3): 339-343. DOI:10.1109/lgrs.2016.2640954.
[11] Ramalli A, Dallai A, Boni E. Pulse compression: From radar to real-time ultrasound systems [J]. Lecture Notes in Electrical Engineering, 2017, 429: 221-227. DOI:10.1007/978-3-319-55071-8_29.
[12] Beauchamp R M, Tanelli S, Peral E, et al. Pulse compression waveform and filter optimization for spaceborne cloud and precipitation radar [J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2): 915-931.DOI:10.1109/tgrs.2016.2616898.
[13] Cai J X, Zhang Y. General purpose graphic processing unit implementation of adaptive pulse compression algorithms[J]. Journal of Applied Remote Sensing, 2017, 11(3): 035009. DOI:10.1117/1.jrs.11.035009.
[14] Yin Z H, Yu B C, Wang Z F, et al. Performance analysis of radar pulse compression signals[J]. Advanced Materials Research, 2013, 734-737: 3248-3251. DOI:10.4028/www.scientific.net/amr.734-737.3248.
[15] Aubry A, Maio A D, Carotenuto V, et al. Radar phase noise modeling and effects—part Ⅰ: MTI filters [J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(2): 698-711. DOI:10.1109/taes.2015.140549.
[16] Sun L, Jiang K, Wu B C, et al. A novel space-time equivalent reconstruction method for MIMO SAR/MTI system [J]. Radar Science and Technology, 2011, 9(2): 120-124. DOI:10.3969/j.issn.1672-2337.2011.02.005. (in Chinese)
[17] Hyder M M, Mahata K. Maximum a posteriori based approach for target detection in MTI radar [J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2012, 2(3): 392-401.DOI:10.1109/jetcas.2012.2217095.
[18] Oveis A H, Sebt M A. Compressed sensing-based ground MTI with clutter rejection scheme for synthetic aperture radar[J]. IET Signal Processing, 2017, 11(2): 155-164. DOI:10.1049/iet-spr.2016.0156.
[19] Wang P, Li H B, Himed B. Moving target detection using distributed MIMO radar in clutter with nonhomogeneous power[J]. IEEE Transactions on Signal Processing, 2011, 59(10): 4809-4820. DOI:10.1109/tsp.2011.2160861.
[20] Li N, Cui G L, Kong L J, et al. MIMO radar moving target detection against compound-Gaussian clutter[J]. Circuits, Systems, and Signal Processing, 2014, 33(6): 1819-1839. DOI:10.1007/s00034-013-9718-9.
[21] Li N, Cui G L, Kong L J, et al. Moving target detection for polarimetric multiple-input multiple-output radar in Gaussian clutter[J]. IET Radar, Sonar & Navigation, 2015, 9(3): 285-298. DOI:10.1049/iet-rsn.2014.0157.


Biographies: Jia Zhen(1987—), male, doctor, senior engineer; Li Jianqing(corresponding author), male, doctor, professor, ljq@seu.edu.cn.
Foundation items: The “13th Five-Year” Equipment Pre-Research Common Technology Fund of China(No.41411010202), the National Natural Science Foundation of China(No.61571113), the Natural Science Foundation of Jiangsu Province(No.BK20160697).
Citation: Jia Zhen, Li Jianqing.Multi-target range and velocity measurements of a digital phased array radar system[J].Journal of Southeast University(English Edition), 2018, 34(4):459-465.DOI:10.3969/j.issn.1003-7985.2018.04.007.
Last Update: 2018-12-20