Weak Moving Target Detection Based on Short-Time Fourier Transform in Sea Clutter

2019 ◽  
Author(s):  
Xiao-Wei Zhang ◽  
Dong-Dong Yang ◽  
Jian-Xin Guo ◽  
Lei Zuo
Keyword(s):  
Fourier Transform ◽  
Target Detection ◽  
Moving Target ◽  
Short Time Fourier Transform ◽  
Sea Clutter ◽  
Moving Target Detection ◽  
Short Time

A Particle Fuzzy Decisive Framework for Moving Target Detection in the Multichannel SAR Framework

2020 ◽  
Vol 19 (04) ◽  
pp. 2050032
Author(s):  
Eppili Jaya ◽  
B. T. Krishna
Keyword(s):  
Fourier Transform ◽  
Target Detection ◽  
Fuzzy System ◽  
Target Location ◽  
Fractional Fourier Transform ◽  
Moving Target ◽  
Detection Time ◽  
Moving Target Detection ◽  
Genetic Fuzzy System ◽  
Linguistic Rules

Target detection is one of the important subfields in the research of Synthetic Aperture Radar (SAR). It faces several challenges, due to the stationary objects, leading to the presence of scatter signal. Many researchers have succeeded on target detection, and this work introduces an approach for moving target detection in SAR. The newly developed scheme named Adaptive Particle Fuzzy System for Moving Target Detection (APFS-MTD) as the scheme utilizes the particle swarm optimization (PSO), adaptive, and fuzzy linguistic rules in APFS for identifying the target location. Initially, the received signals from the SAR are fed through the Generalized Radon-Fourier Transform (GRFT), Fractional Fourier Transform (FrFT), and matched filter to calculate the correlation using Ambiguity Function (AF). Then, the location of target is identified in the search space and is forwarded to the proposed APFS. The proposed APFS is the modification of standard Adaptive genetic fuzzy system using PSO. The performance of the MTD based on APFS is evaluated based on detection time, missed target rate, and Mean Square Error (MSE). The developed method achieves the minimal detection time of 4.13[Formula: see text]s, minimal MSE of 677.19, and the minimal moving target rate of 0.145, respectively.

scholarly journals A New Maritime Moving Target Detection and Tracking Method for Airborne Forward-looking Scanning Radar

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1586
Author(s):  
Weibo Huo ◽  
Jifang Pei ◽  
Yulin Huang ◽  
Qian Zhang ◽  
Jianyu Yang
Keyword(s):  
Likelihood Ratio ◽  
Target Detection ◽  
Moving Target ◽  
Sea Clutter ◽  
Moving Target Detection ◽  
Tracking Method ◽  
Ratio Calculation ◽  
Detection And Tracking ◽  
Spectral Residual ◽  
Forward Looking

Maritime moving target detection and tracking through particle filter based track-before-detect (PF-TBD) has significant practical value for airborne forward-looking scanning radar. However, villainous weather and surging of ocean waves make it extremely difficult to accurately obtain a statistical model for sea clutter. As the likelihood ratio calculation in PF-TBD is dependent on the distribution of the clutter, the performance of traditional distribution-based PF-TBD seriously declines. To resolve these difficulties, this paper proposes a new target detection and tracking method, named spectral-residual-binary-entropy-based PF-TBD (SRBE-PF-TBD), which is independent from the prior knowledge of sea clutter. In the proposed method, the likelihood ratio calculation is implemented by first extracting the spectral residual of the input image to obtain the saliency map, and then constructing likelihood ratio through a binarization processing and information entropy calculation. Simulation results show that the proposed method had superior performance of maritime moving target detection and tracking.

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

2020 ◽  
Vol 14 (1) ◽  
pp. 156-166 ◽  
Author(s):  
Xiao‐Wei Zhang ◽  
Lei Zuo ◽  
Dong‐Dong Yang ◽  
Jian‐Xin Guo
Keyword(s):  
Fourier Transform ◽  
Target Detection ◽  
Radar Target ◽  
Short Time Fourier Transform ◽  
Short Time

scholarly journals Spectral Kurtosis–Based Method for Weak Target Detection in Sea Clutter by Microwave Coherent Radar

2015 ◽  
Vol 32 (2) ◽  
pp. 310-317 ◽  
Author(s):  
Yan Jin ◽  
Zezong Chen ◽  
Lingang Fan ◽  
Chen Zhao
Keyword(s):  
Target Detection ◽  
Doppler Frequency ◽  
Radar Data ◽  
Short Time Fourier Transform ◽  
Sea Clutter ◽  
Spectral Kurtosis ◽  
Small Targets ◽  
Coherent Radar ◽  
Short Time ◽  
Weak Target

AbstractA new method is proposed to detect small targets embedded in sea clutter for land-based microwave coherent radar using spectral kurtosis as a signature from radar data. It is executed according to the following procedures. First, the echoes of radar from each range gate are processed by the technique of short-time Fourier transform. Then, the kurtosis of each Doppler channel is estimated from the time–Doppler spectra. Last, the spectral kurtosis is compared to a threshold to determine whether a target exists. The proposed method is applied to measured datasets of different sea conditions from slight to moderate. The signal from a small boat is detected successfully. Furthermore, the detection performance of the proposed method is analyzed by the way of Monte Carlo simulation. It demonstrates that the spectral kurtosis–based detector works well for weak target detection when the target’s Doppler frequency is beyond the strong clutter region.

Sign in / Sign up

Export Citation Format

Share Document