Coherent‐like integration for PD radar target detection based on short‐time Fourier transform

In the context of white complex Gaussian noise, this study presents one constant false-alarm rate mono-pulse detector for both the narrowband and wideband pulse-Doppler (PD) radars. To this end, coherent-like integration is proposed to improve the signal-to-noise ratios of one radar echo. The PD radar returned signals are first performed by stretch processing. Stretched signals are analysed by short-time Fourier transform (STFT) in the time–frequency representation. Coherent-like integration is then utilised to operate the two-dimensional (2D) STFT matrix and the new 2D matrices after coherent-like integration are decomposed to obtain singular values. Finally, the largest singular value, which is assumed to be corresponding to an isolated scatterer for narrowband PD radars (dominate scatterer for wideband PD radars) is selected as the test static to be compared with the detection threshold. Since the new detector is not highly sensitive to the target motion, it can solve the detection problem of the high-speed manoeuvring target. Furthermore, the experiments based on raw data are conducted to illustrate the performance of the proposed detector.

[1]  Joseph Haim Didi,et al.  Repeated sorting on the sliding window for OS‐CFAR , 2019, IET Radar, Sonar & Navigation.

[2]  Stefan Brisken,et al.  Total rotational velocity estimation in a multistatic ISAR system , 2019, IET Radar, Sonar & Navigation.

[3]  Francesco Fioranelli,et al.  Practical classification of different moving targets using automotive radar and deep neural networks , 2018, IET Radar, Sonar & Navigation.

[4]  Fei Wang,et al.  Short-Time Velocity Identification and Coherent-Like Detection of Ultrahigh Speed Targets , 2018, IEEE Transactions on Signal Processing.

[5]  Birsen Yazici,et al.  Deep learning for waveform estimation and imaging in passive radar , 2018, IET Radar, Sonar & Navigation.

[6]  Shunsuke Ono,et al.  Fast Singular Value Shrinkage With Chebyshev Polynomial Approximation Based on Signal Sparsity , 2017, IEEE Transactions on Signal Processing.

[7]  Wei Yi,et al.  CLEAN-based coherent integration method for high-speed multi-targets detection , 2016 .

[8]  Ming Li,et al.  Range-spread target detection using time delay-frequency matched filter , 2016 .

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

[10]  Ming Li,et al.  Range-spread target detector using the frequency rate function , 2014 .

[11]  Peng Zhang,et al.  CFAR Detection of Range-Spread Targets Based on the Time-Frequency Decomposition Feature of Two Adjacent Returned Signals , 2013, IEEE Transactions on Signal Processing.

[12]  Yajun Wang,et al.  An Efficient Method for Detecting Slow-Moving Weak Targets in Sea Clutter Based on Time–Frequency Iteration Decomposition , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Yingning Peng,et al.  Radar Maneuvering Target Motion Estimation Based on Generalized Radon-Fourier Transform , 2012, IEEE Transactions on Signal Processing.

[14]  S. Stankovic,et al.  Multiwindow S-method for instantaneous frequency estimation and its application in radar signal analysis , 2010, IET Signal Processing.

[15]  Mengdao Xing,et al.  High-speed multi-target detection with narrowband radar , 2010 .

[16]  Ljubisa Stankovic,et al.  Time–frequency-based detection of fast manoeuvring targets , 2010 .

[17]  Zheng Bao,et al.  Range-Spread Target Detection Based on Cross Time-Frequency Distribution Features of Two Adjacent Received Signals , 2009, IEEE Transactions on Signal Processing.

[18]  Bassem Mahafza,et al.  Radar Signal Analysis and Processing Using MATLAB , 2008 .

[19]  T. Thayaparan,et al.  Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter , 2006, IEEE Transactions on Signal Processing.

[20]  LJubisa Stankovic,et al.  Instantaneous frequency estimation using the Wigner distribution with varying and data-driven window length , 1998, IEEE Trans. Signal Process..

[21]  Freeman C. Lin,et al.  Detection of a spatially distributed target in white noise , 1997, IEEE Signal Processing Letters.

[22]  M. Amin,et al.  Short-time Fourier transforms using cascade filter structures , 1995 .

[23]  L. Cartledge,et al.  Description and Performance Evaluation of the Moving Target Detector , 1977 .

[24]  D. Schleher,et al.  Radar Detection in Weibull Clutter , 1976, IEEE Transactions on Aerospace and Electronic Systems.

[25]  Robert H. Halstead,et al.  Matrix Computations , 2011, Encyclopedia of Parallel Computing.

[26]  Xiang-Gen Xia,et al.  A quantitative analysis of SNR in the short-time Fourier transform domain for multicomponent signals , 1998, IEEE Trans. Signal Process..

[27]  Ljubisa Stankovic,et al.  A method for time-frequency analysis , 1994, IEEE Trans. Signal Process..