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2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Hu, Panhe Li, Jingyu Bao, Qinglong Chen, Zengping Pan, Shengsen National University of Defense Technology Science and Technology on Automatic Target Recognition Laboratory Changsha China

ISBN: (纸本)9781538618035

Under the trend of complex electromagnetic environment and development of new radar system, the direct wave of noncooperative radar is easily affected by clutter, multipath, and other noncooperative illuminators. These problems make it difficult for passive radar to extract the parameters of the direct wave. In this paper, a novel signal processing method using suboptimal nearest-neighbor (SNN) approach is proposed to acquire accurate parameters of direct wave. In this method, the parameter estimation of direct wave is converted to time-frequency data association. Firstly, the direct wave is processed with time-frequency analysis. Then, the SNN approach is applied to perform time-frequency data association and acquire the associated time-frequency line. Finally, the rough parameters are measured by calculating the positions of time-frequency line and accurate parameters are obtained by template matching with the known parameters. Simulation and experimental results verify the feasibility of the proposed method. © 2018 IEEE.

关键词： Parameter extraction

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Weak target detection algorithm for non-cooperative bistatic radar

Weak target detection algorithm for non-cooperative bistatic...

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IET International Radar Conference 2015

作者： Wang, Dinghe Bao, Qinglong Niu, Zhaodong Chen, Zengping Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781849199940

At present, most of the passive radar system researches utilize FM radios, TV broadcasts, navigation satellites etc. as illuminators. The transmitted signals are not specifically designed radar waveforms. In this work, a frequency agile, phased array Air Surveillance Radar (ASR) is used as illuminator of opportunity for weak target detection. In this case, coherent integration methods are not applicable. Thus, a parametric non-coherent integration algorithm based on task de-interweaving is proposed. Numerical experiments verify that this method is effective in weak target detection.

关键词： Surveillance radar

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A target detection method for non-cooperative PBR with frequency-agile and pri-agile radar

A target detection method for non-cooperative PBR with frequ...

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IET International Radar Conference 2015

作者： Lin, Caiyong Hu, Panhe Bao, Qinglong Zhang, Shuyan Chen, Zengping Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781849199940

In case of passive bistatic radar (PBR) using a phased array radar (PAR) as the non-cooperative illuminator, there are problems that signal parameters of the transmitter are unknown and signal coherence is damaged. Aiming at the issues, this article presents a target detection method for PBR using PAR as the non-cooperative illuminator. Firstly, the method uses the direct wave to estimate signal parameters, and then pulse compresses scattered wave. Secondly, the compressed wave is aligned by fast-time dimension so that a Range-Time (R-T) map can be obtained. Finally, the target is detected according to the trajectory in R-T map. The field experimental results demonstrate the effectiveness of this method.

关键词： Tracking radar

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Long time coherent integration method for frequency agile radar 44

Long time coherent integration method for frequency agile ra...

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2014 44th European Microwave Conference, EuMC 2014 - Held as Part of the 17th European Microwave Week, EuMW 2014

作者： Wang, Dinghe Bao, Qinglong Niu, Zhaodong Chen, Zengping Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9782874870354

Aiming at the de-correlation effect of echo phase in frequency agile radar (FAR) and the range cell migration problem in long time integration, the Frequency Agile Coherent Radon Transform(FA-CRT) is proposed to realize long time coherent integration for FAR. Firstly, the FAR echo model of moving target is established. Secondly, the FA-CRT method is brought forth. Finally, a numerical experiment is designed to verify the performance of FA-CRT in long time coherent integration. © 2014 European Microwave Association.

关键词： Integration

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A track processing method of multi-target based on passive radar

A track processing method of multi-target based on passive r...

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IET International Radar Conference 2015

作者： Zhang, Shuyan Bao, Qinglong Lin, Caiyong Chen, Zengping Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781849199940

According to the characteristics of passive radar, a new method of multi-target track processing based on Kalman filter is proposed, which is Track Searching based on Kalman Filter(TSKF). In this method, velocity method [1] is used firstly to find possible track and an adaptive association gate is adopted to associate with successive measurements. Secondly, Kalman filter is used to predict locations of successive measurements. Finally, Nearest Neighbor method is used to search all points belonging to the possible track and confirm the track. After that the algorithm need to go to a next cycle to find new target tracks. In order to demonstrate the validity of the proposed method, experiments with real data were conducted to compare with traditional Kalman method.

关键词： Kalman filters

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Experimental Results of Vessel Detection Based on Passive Bistatic Radar 2

Experimental Results of Vessel Detection Based on Passive Bi...

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2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Pan, Jiameng Lin, Caiyong Bao, Qinglong Chen, Zengping National University of Defense Technology Science and Technology on Automatic Target Recognition Laboratory Changsha China

ISBN: (纸本)9781538618035

Recently, there have been many studies on passive bistatic radar (PBR) based on civil illuminators of opportunity. In this paper, we investigate the feasibility of PBR using phased array radar (PAR) signal for moving vessel detection. We develop a low-cost experimental PBR system based on a high-power PAR with agile pulse-repetition-interval (PRI). Firstly, we use a Yagi antenna for receiving both the direct and scattered signal simultaneously, which guarantees the time synchronization and simplifies the PBR system. Then we propose a signal processing method for the PBR system. Finally, a field experiment is conducted in a harbor for the purpose of vessel detection, and the experimental results show that the PBR system using PAR as the transmitter is a feasible system and the proposed method is useful for moving vessel detection. © 2018 IEEE.

关键词： Directive antennas

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Environment-Driven Online LiDAR-Camera Extrinsic Calibration

arXiv

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arXiv 2025年

作者： Huang, Zhiwei Li, Jiaqi Zhong, Ping Fan, Rui The Department of Control Science & Engineering The College of Electronics & Information Engineering Tongji University Shanghai201804 China The School of Computer Science and Engineering Central South University Hunan Changsha410083 China The National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Hunan Changsha410073 China The Department of Control Science & Engineering The College of Electronics & Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems The State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Shaanxi Xi’an710049 China

LiDAR-camera extrinsic calibration (LCEC) is the core for data fusion in computer vision. Existing methods typically rely on customized calibration targets or fixed scene types, lacking the flexibility to handle variations in sensor data and environmental contexts. This paper introduces EdO-LCEC, the first environment-driven, online calibration approach that achieves human-like adaptability. Inspired by the human perceptual system, EdO-LCEC incorporates a generalizable scene discriminator to actively interpret environmental conditions, creating multiple virtual cameras that capture detailed spatial and textural information. To overcome cross-modal feature matching challenges between LiDAR and camera, we propose dual-path correspondence matching (DPCM), which leverages both structural and textural consistency to achieve reliable 3D-2D correspondences. Our approach formulates the calibration process as a spatial-temporal joint optimization problem, utilizing global constraints from multiple views and scenes to improve accuracy, particularly in sparse or partially overlapping sensor views. Extensive experiments on real-world datasets demonstrate that EdO-LCEC achieves state-of-the-art performance, providing reliable and precise calibration across diverse, challenging environments. Copyright © 2025, The Authors. All rights reserved.

关键词： Spatio-temporal data

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Analysis of Clock Jitter Effects on LFM-Signal Pulse Compression Based on Matched Filter 2

Analysis of Clock Jitter Effects on LFM-Signal Pulse Compres...

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2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Li, Jingyu Hu, Panhe Zhang, Yue Chen, Zengping National University of Defense Technology Science and Technology on Automatic Target Recognition Laboratory Changsha China

ISBN: (纸本)9781538618035

Clock jitter is one of the main elements affecting the SNR of acquired signal. Based on the noise model of normal distribution, this paper analyzes the influence of clock jitter on the SNR of ADC. Then, the effects of clock jitter on the mainlobe width and the PSLR of LFM-signal pulse compression are analyzed. The simulation results show that as the clock jitter increases, the mainlobe broadens and the noise floor increases. When the clock jitter is less than 0.2/B, the main lobe broadening and the PSLR deterioration are negligible. The results provide a reference for system design and device selection. © 2018 IEEE.

关键词： Signal to noise ratio

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A Robust Hough Transform-Based Track Initiation Method for Multiple target Tracking in Dense Clutter 8th

A Robust Hough Transform-Based Track Initiation Method for M...

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8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019

作者： Zhu, Qian Hu, Panhe Pan, Jiameng Bao, Qinglong Science and Technology on Automatic Target Recognition Laboratory National University of Defense Technology Changsha410072 China

ISBN: (纸本)9789811394089

Existing multiple track initiation methods based on Hough Transform have flaws, such as huge computation load in dense clutter environment and performance degradation in measurement error. To improve those defects, we propose a robust Hough Transform-based track initiation method for multiple target tracking in dense clutter. The whole proposed method is divided into three steps. The first step is to screen data through the grid-based velocity test. The second step is to cluster the screened data into groups based on eight connectivity principle of grids. The last step is to respectively make Hough Transform on each group data to achieve track initiation. The experiment results illustrate the proposed algorithm outperforms traditional algorithms on Hough transform based track initiation. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Hough transforms

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Sparse Aperture Based Radar Observation Resource Allocation Algorithm for Space target 3D Imaging 3

Sparse Aperture Based Radar Observation Resource Allocation ...

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3rd IEEE International Conference on Computer and Communication Engineering technology, CCET 2020

作者： Yang, Qingwei Jiang, Libing Yu, Xiang Zhou, Chaoxiang Wang, Zhuang National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology China

ISBN: (纸本)9781728188119

Radar imaging has been one of the basic functions for modern radar as well as searching, detection and tracking, especially for those ground-based space surveillance phased array radars. Due to the periodic revisiting characteristics of the in-orbit objects, multi-pass observations for space targets (e.g. satellites) within small pitching angle variation can be accumulated, which lead to the 3D inverse synthetic aperture radar (ISAR) image formation. Consequently, the strategy of allocating the limited radar observation resource for a reliable 3D ISAR imaging result is becoming a fundamental but critical issue. In this letter, a sparse aperture based radar observation resource allocating method is proposed to facilitate the space target 3D ISAR imaging. According to the sparsity estimation of the target along the azimuth dimension, the required observation resource is calculated and assigned in accordance with the imaging task priority. Furthermore, the experimental boundary of the imaging performance with different signal-to-noise ratios (SNR) and pulse extraction rates are discussed in detail, which gives an intuitive guidance for the radar observation allocation under different application scenarios. The experimental results performed on simulated data validate the feasibility and effectiveness of the proposed method. © 2020 IEEE.

关键词： Inverse synthetic aperture radar

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