Motion Analysis and Compensation Method for Random Stepped Frequency Radar Using the Pseudorandom Code

To address the defocusing problem faced by random stepped frequency (RSF) radars, this paper presents a complementary code cancellation (CCC) method to estimate the target velocity and achieve motion compensation. The proposed CCC method is capable of eliminating the coupling effect between range profile and target velocity. In this paper, we first give a block diagram of RSF radar modulated by the M-sequence-generated pseudorandom code, and introduce the baseband sampling echo model of moving target. Then, the velocity estimation accuracy is derived to show the sensitivity of high-resolution range profile to target velocity. Subsequently, the CCC method is proposed and also investigated in the application of multi-target scenario. Performance analyses demonstrate that the proposed method can satisfy the estimation accuracy requirement and improve the signal to noise ratio by the velocity accumulation. Finally, simulations show that the method is effective and more computationally efficient than the existing popular methods.

[1]  J.P. Costas,et al.  A study of a class of detection waveforms having nearly ideal range—Doppler ambiguity properties , 1983, Proceedings of the IEEE.

[2]  Chung-ching Chen,et al.  Target-Motion-Induced Radar Imaging , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[3]  T. Sauer,et al.  Robust range alignment algorithm via Hough transform in an ISAR imaging system , 1995 .

[4]  Li Xi,et al.  Autofocusing of ISAR images based on entropy minimization , 1999 .

[5]  Wei Yi,et al.  Coherent Integration for Maneuvering Target Detection Based on Radon-Lv’s Distribution , 2015, IEEE Signal Processing Letters.

[6]  Zhidao Cao,et al.  Method Of Precise Motion Compensation For ISAR , 1989, Optics & Photonics.

[7]  Zheng Liu,et al.  A novel method of translational motion compensation for hopped-frequency ISAR imaging , 2000, Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037].

[8]  Sune R. J. Axelsson,et al.  Analysis of Random Step Frequency Radar and Comparison With Experiments , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Sune R. J. Axelsson Noise radar using random phase and frequency modulation , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Voon Chet Koo,et al.  Phase-Coded Stepped Frequency Linear Frequency Modulated Waveform Synthesis Technique for Low Altitude Ultra-Wideband Synthetic Aperture Radar , 2017, IEEE Access.

[11]  Gaspare Galati,et al.  Advanced range-Doppler processing in noise radar , 2018, 2018 22nd International Microwave and Radar Conference (MIKON).

[12]  S. Golomb,et al.  Constructions and properties of Costas arrays , 1984, Proceedings of the IEEE.

[13]  Yuping Zhang,et al.  Sensitivity of cancellation algorithm to transmitted waveform in noise radar system , 2014, 2014 12th International Conference on Signal Processing (ICSP).

[14]  Gang Li,et al.  Randomized stepped frequency ISAR imaging , 2012, 2012 IEEE Radar Conference.

[15]  Yu Cong,et al.  Radon-fractional Fourier transform and its application to radar maneuvering target detection , 2013, 2013 International Conference on Radar.

[16]  T. Thayaparan,et al.  Time-frequency method for detecting an accelerating target in sea clutter , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[17]  V. Chen,et al.  ISAR motion compensation via adaptive joint time-frequency technique , 1998 .

[18]  T. Thayaparan,et al.  Optimum time~frequency distribution for detecting a discrete-time chirp signal in noise , 2006 .

[19]  You He,et al.  Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integration , 2014, IEEE Transactions on Signal Processing.

[20]  Tianyao Huang,et al.  A novel target motion compensation method for randomized stepped frequency ISAR , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[21]  Jiaqi Liu,et al.  Extraction of Micro-Doppler Frequency From HRRPs of Rotating Targets , 2017, IEEE Access.

[22]  Haiqing Wu,et al.  Moving target imaging and trajectory computation using ISAR , 1994 .

[23]  Xiaolong Chen,et al.  Effective coherent integration method for marine target with micromotion via phase differentiation and radon-Lv's distribution , 2015 .

[24]  Zhidao Cao,et al.  Motion compensation for ISAR and noise effect , 1990 .

[25]  Ram M. Narayanan,et al.  Sparsity-based signal processing for noise radar imaging , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[26]  Lars M. H. Ulander,et al.  Detection of storm-damaged forested areas using airborne CARABAS-II VHF SAR image data , 2002, IEEE Trans. Geosci. Remote. Sens..

[27]  Han Yue,et al.  DIGITAL SIGNAL PROCESSING OF STEPPED FREQUENCY RADAR , 2001 .

[28]  Huadong Meng,et al.  Range-velocity estimation of multiple targets in randomised stepped-frequency radar , 2008 .

[29]  Wen Hu,et al.  A novel random stepped frequency radar using chaos , 2014, 2014 IEEE Radar Conference.

[30]  Xiaohan High-resolution Sparse Representation and Its Applications in Radar Moving Target Detection , 2019 .

[31]  Jun Zhang,et al.  A novel range profile synthesis method for random hopping frequency radar , 2016, 2016 IEEE International Conference on Digital Signal Processing (DSP).

[32]  Yue Zhang,et al.  On the Unambiguous Distance of Multicarrier Phase Ranging With Random Hopped Frequencies , 2017, IEEE Access.

[33]  Nadav Levanon,et al.  Stepped-frequency pulse-train radar signal , 2002 .