SCIENCE CHINA Information Sciences, Volume 59, Issue 12: 122304(2016) https://doi.org/10.1007/s11432-015-5482-8

A novel RHT-TBD approach for weak targets in HPRF radar

More info
  • ReceivedAug 28, 2015
  • AcceptedOct 11, 2015
  • PublishedApr 22, 2016


A novel approach, which can handle ambiguous data from weak targets, is proposed within the randomized Hough transform track-before-detect (RHT-TBD) framework. The main idea is that, without the pre-detection and ambiguity resolution step at each time step, the ambiguous measurements are mapped by the multiple hypothesis ranging (MHR) procedure. In this way, all the information, based on the relativity in time and pulse repetition frequency (PRF) domains, can be gathered among different PRFs and integrated over time via a batch procedure. The final step is to perform the RHT with all the extended measurements, and the ambiguous data is unfolded while the detection decision is confirmed at the end of the processing chain. Unlike classic methods, the new approach resolves the problem of range ambiguity and detects the true track for targets. Finally, its application is illustrated to analyze and compare the performance between the proposed approach and the existing approach. Simulation results exhibit the effectiveness of this approach.

Funded by

National Natural Science Foundation of China(61179018)

National Natural Science Foundation of China(61372027)

National Natural Science Foundation of China(61501489)



This work was supported by National Natural Science Foundation of China (Grant Nos. 61179018, 61372027, 61501489) and Special Foundation for Mountain Tai Scholars.


[1] Wang G H, Tan S C, Guan C B. Multiple model particle filter track-before-detect for range ambiguous radar. Chinese J Aeronaut, 2013, 6: 1477-1487 Google Scholar

[2] Wang W Q. Mitigating range ambiguities in high-PRF SAR with OFDM waveform diversity. IEEE Geosci Remote Sensing Lett, 2013, 1: 101-105 Google Scholar

[3] Raney R K, Freeman A, Jordan R L. Improved range ambiguity performance in Quad-pol SAR. IEEE Trans Geosci Remote Sensing, 2012, 2: 349-356 Google Scholar

[4] Xie W, Zhang B, Wang Y, et al. Range ambiguity clutter suppression for bistatic STAP radar. EURASIP J Advances Signal Process, 2013, 1: 1-13 Google Scholar

[5] Thomas A G, Berg M C. Medium PRF set selection: an approach through combinatorics. IEE Proc Radar Sonar Nav, 1994, 141: 307-311 CrossRef Google Scholar

[6] Wang C, Yin Q Y, Wang W J. An efficient ranging method based on Chinese remainder theorem for RIPS measurement. Sci China Inf Sci, 2010, 53: 1233-1241 CrossRef Google Scholar

[7] Lei W, Long T, Han Y Q. Resolution of range and velocity ambiguity for a medium pulse Doppler radar. In: the Record of the IEEE International Radar Conference, Alexandria, 2000. 560--564. Google Scholar

[8] Zhou R, Gao M G, Han Q Y. Resolving ambiguity for multiple targets using residues' difference lookup table (in Chinese). J Beijing Institute Tech, 2002, 4: 221-224 Google Scholar

[9] Wang N, Wang G H, Zeng J Y, et al. Range ambiguity resolving of HPRF radar based on hybrid filter. Sci China Inf Sci, 2011, 54: 1534-1546 CrossRef Google Scholar

[10] Wang N, Wang G H, Guan C B, et al. A Bayes approach to simultaneous range ambiguity resolving and tracking for high pulse-repetition frequency radar. J Astronautics, 2011, 32: 2015-2022 Google Scholar

[11] Tan S C, Wang G H, Wang N, et al. Joint range ambiguity resolving and multiple maneuvering targets tracking in clutter via MMPHDF-DA. Sci China Inf Sci, 2014, 57: 082311-2022 Google Scholar

[12] Bocquel M, Driessen H, Bagchi A. Multitarget particle filter addressing ambiguous radar data in TBD. In: the Record of the IEEE International Radar Conference, New York, 2012. 0575--0580. Google Scholar

[13] Richards M A, Scheer J A, Holm W A, et al. Principles of Modern Radar. Edison: SciTech Publishing, 2010. 64--66. Google Scholar

[14] Zhang P, Zhang L. An efficient track-before-detect algorithm based on complex likelihood ratio in radar systems. Sensors Transducers, 2014, 7: 299-305 Google Scholar

[15] Grossi E, Lops M, Venturino L. A heuristic algorithm for track-before-detect with thresholded observations in radar systems. IEEE Signal Process Lett, 2013, 8: 811-814 Google Scholar

[16] Wang H, Sun J P, Lu S T, et al. Factor graph aided multiple hypothesis tracking. Sci China Inf Sci, 2013, 56: 109301-814 Google Scholar

[17] Wu Z, Zhang J, Zhang L, et al. A novel Hough track initialization algorithm for multi-sensor environment. Sensor Lett, 2013, 4: 686-691 Google Scholar

[18] Fan L, Zhang X, Wei L. TBD algorithm based on improved randomized Hough transform for dim target detection. Progress Electromagnet Res, 2012, 31: 271-285 CrossRef Google Scholar

[19] Zhang Y H, Su X H, Ma P J. Track initiation based on extended trellis and randomized Hough transform. Appl Mech Mater, 2012, 128: 1281-1287 Google Scholar

[20] Xu J, Yu J, Peng Y N, et al. Radon-Fourier transform for radar target detection (I): generalized Doppler filter bank. IEEE Trans Aerosp Electron Syst, 2011, 47: 1186-1202 CrossRef Google Scholar

[21] Xu J, Yu J, Peng Y N, et al. Radon-Fourier transform for radar target detection (II): blind speed sidelobe suppression. IEEE Trans Aerosp Electron Syst, 2011, 47: 2473-2489 CrossRef Google Scholar

[22] Xu J, Xia X G, Peng S B, et al. Radar maneuvering target motion estimation based on generalized Radon-Fourier transform. IEEE Trans Signal Process, 2012, 60: 6190-6201 CrossRef Google Scholar

[23] Guo D, Wang X D. Quasi-Monte Carlo filtering in nonlinear dynamic systems. IEEE Trans Signal Process, 2006, 54: 2087-2098 CrossRef Google Scholar

[24] Xu L, Oja E. Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities. CVGIP: Image Understanding, 1993, 57: 131-154 CrossRef Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1       京公网安备11010102003388号