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Advanced technology of high-resolution radar: target detection, tracking, imaging, and recognition

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Science China(Information Sciences) 2019年第4期62卷 5-30页

作者： teng long Zhennan LIANG Quanhua LIU Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology

In recent years, the performances of radar resolution, coverage, and detection accuracy have been significantly improved through the use of ultra-wideband, synthetic aperture and digital signal processing technologies. High-resolution radars(HRRs) utilize wideband signals and synthetic apertures to enhance the range and angular resolutions of tracking, respectively. They also generate one-, two-, and even threedimensional high-resolution images containing the feature information of targets, from which the targets can be precisely classified and identified. Advanced signal processing algorithms in HRRs obtain important information such as range-Doppler imaging, phase-derived ranging, and micro-motion features. However, the advantages and applications of HRRs are restricted by factors such as the reduced signal-to-noise ratio(SNR)of multi-scatter point targets, decreased tracking accuracy of multi-scatter point targets, high demands of motion compensation, and low sensitivity of the target attitude. Focusing on these problems, this paper systematically introduces the novel technologies of HRRs and discusses the issues and solutions relevant to detection, tracking, imaging, and recognition. Finally, it reviews the latest progress and representative results of HRR-based research, and suggests the future development of HRRs.

关键词： high-resolution radar integrated detection and tracking multiple target tracking phase-derived velocity inverse synthetic aperture radar(ISAR) hierarchical classification convolution neural network

Sinc interpolation based method for compensation of ionospheric dispersion effects on BOC signals with high subcarrier rate

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Science China(Information Sciences) 2016年第10期59卷 152-168页

作者： Hang RUAN Lei ZHANG teng long Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology) Ministry of Education School of Information and Electronics Beijing Institute of Technology

Binary Offset Carrier(BOC) signals with high subcarrier rate such as Alt BOC(15,10) and cosBOC(15,2.5) have been adopted for the next generation of Global Navigation Satellite System(GNSS) to make full use of the allocated spectrum. However, the two main lobes of the BOC signals are tremendously separated in the frequency spectrum and the group delay of the two lobes are greatly dispersed due to ionospheric dispersion. The signals will suffer extremely severe distortion caused by the group delay dispersion including waveform ripples, power losses and correlation function asymmetries. In this paper, a novel time domain sinc interpolation based ionospheric dispersion compensation method is proposed to eliminate the distortion to the BOC ***, the time domain model of BOC signal under the dispersive ionosphere is developed. Afterwards, based on the model, the two signal main lobes are aligned by sinc interpolation so that the ionospheric dispersion effects are almost mitigated. Taking Galileo E5 Alt BOC(15,10) signal as an example, the performance of the proposed method is evaluated by simulation and test. The results show that the proposed method is able to more effectively compensate the ionospheric dispersion with fewer computational loads versus existing methods.

关键词： ionospheric dispersion sinc interpolation BOC code tracking bias high subcarrier rate

A high-precision phase-derived range and velocity measurement method based on synthetic wideband pulse Doppler radar

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Science China(Information Sciences) 2017年第8期60卷 151-162页

作者： Huayu FAN Lixiang REN teng long Erke MAO Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Radar Research Laboratory Beijing Institute of Technology

Development of radar technology needs to address the two-dimensional high resolution of range and velocity simultaneously for high-speed targets. Taking advantage of the superior coherent performance of synthetic wideband pulse Doppler radar, this paper elaborates the principles of phase-derived range and velocity measurements. Moreover, this paper explores the key technologies of unwrapping phase ambiguity, and discusses the phase unwrapping strategy at a low signal-to-noise ratio(SNR). The proposed method can be applied to the conditions of low SNR and has comparatively strong practicality in engineering. Both the ejection ball and civil aircraft experiments have validated the correctness and feasibility of the proposed method. In particular,the experimental results reveal that the accuracy of phase-derived range and velocity measurement has reached a level of submillimeter or millimeter and centimeter/second or submillimeter/second, respectively.

关键词： synthetic wideband PD radar phase-derived range measurement phase-derived velocity measurement unwrapping phase ambiguity track filtering minimum entropy method

A parallel pipeline connected-component labeling method for on-orbit space target monitoring

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Journal of Systems Engineering and Electronics 2022年第5期33卷 1095-1107页

作者： LI Zongling ZHANG Qingjun long teng ZHAO Baojun School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China Institute of Spacecraft System Engineering China Academy of Space TechnologyBeijing 100094China Institute of Remote Sensing Satellite China Academy of Space TechnologyBeijing 100094China

The paper designs a peripheral maximum gray differ-ence(PMGD)image segmentation method,a connected-compo-nent labeling(CCL)algorithm based on dynamic run length(DRL),and a real-time implementation streaming processor for *** it verifies the function and performance in space target monitoring scene by the carrying experiment of Tianzhou-3 cargo spacecraft(TZ-3).The PMGD image segmentation method can segment the image into highly discrete and simple point tar-gets quickly,which reduces the generation of equivalences greatly and improves the real-time performance for *** parallel pipeline design,the storage of the streaming processor is optimized by 55%with no need for external me-mory,the logic is optimized by 60%,and the energy efficiency ratio is 12 times than that of the graphics processing unit,62 times than that of the digital signal proccessing,and 147 times than that of personal *** the results of 8756 images completed on-orbit,the speed is up to 5.88 FPS and the target detection rate is 100%.Our algorithm and implementation method meet the requirements of lightweight,high real-time,strong robustness,full-time,and stable operation in space irradia-tion environment.

关键词： Tianzhou-3 cargo spacecraft(TZ-3) connected-component labeling(CCL)algorithms parallel pipeline processing on-orbit space target detection streaming processor

HPRF pulse Doppler stepped frequency radar

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Science in China(Series F) 2009年第5期52卷 883-893页

作者： long teng REN LiXiang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing 100081 China

Stepped frequency radar is a well known scheme to generate high range resolution profile （HRRP） of targets. Through appropriate radar parameter design, the radar enables both unambiguous velocity measurement and high resolution ranging within a single dwell in a high pulse repetition frequency （HPRF） mode. This paper analyzes in detail the design principle of the HPRF stepped frequency radar system, the solution to its ambiguity issue, as well as its signal processing method. Both theoretical analysis and simulation results demonstrate that the proposed radar scheme can work independently to solve the problem of motion compensation, and is therefore highly applicable to many new types of radar.

关键词： DFT HPRF pulse Doppler radar stepped frequency radar

Adaptive event-triggered distributed optimal guidance design via adaptive dynamic programming

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Chinese Journal of Aeronautics 2022年第7期35卷 113-127页

作者： teng long Yan CAO Jingliang SUN Guangtong XU School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Dynamics and Control of Flight Vehicle Ministry of Education ChinaBeijing 100081China Department of Precision Instrument Tsinghua UniversityBeijing 100084China

In this paper,the multi-missile cooperative guidance system is formulated as a general nonlinear multi-agent *** save the limited communication resources,an adaptive eventtriggered optimal guidance law is proposed by designing a synchronization-error-driven triggering condition,which brings together the consensus control with Adaptive Dynamic Programming(ADP)***,the developed event-triggered distributed control law can be employed by finding an approximate solution of event-triggered coupled Hamilton-Jacobi-Bellman(HJB)*** address this issue,the critic network architecture is constructed,in which an adaptive weight updating law is designed for estimating the cooperative optimal cost function ***,the event-triggered closed-loop system is decomposed into two subsystems:the system with flow dynamics and the system with jump *** using Lyapunov method,the stability of this closed-loop system is guaranteed and all signals are ensured to be Uniformly Ultimately Bounded(UUB).Furthermore,the Zeno behavior is *** results are finally provided to demonstrate the effectiveness of the proposed method.

关键词： Adaptive dynamic programming Distributed control Event-triggered Guidance and control Multi-agent system

Virtual sensing method for monitoring vibration of continuously variable configuration structures using long short-term memory networks

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Chinese Journal of Aeronautics 2020年第1期33卷 244-254页

作者： Zhenjiang YUE Li LIU teng long Yuanchen MA School of Aerospace Engineering Beijing Institute of TechnologyBeijing 100081China Key Laboratory of Dynamics and Control of Flight Vehicle Ministry of EducationBeijing 100081China

Vibration monitoring by virtual sensing methods has been well developed for linear timeinvariant structures with limited ***,few methods are proposed for Time-Varying(TV)structures which are inevitable in aerospace *** core of vibration monitoring for TV structures is to describe the TV structural dynamic characteristics with accuracy and *** paper propose a new method using the long Short-Term Memory(LSTM)networks for Continuously Variable Configuration Structures(CVCSs),which is an important subclass of TV *** configuration parameters are used to represent the time-varying dynamic characteristics by the‘‘freezing"*** relationship between TV dynamic characteristics and vibration responses is established by LSTM,and can be generalized to estimate the responses with unknown TV processes benefiting from the time translation invariance of LSTM.A numerical example and a liquid-filled pipe experiment are used to test the performance of the proposed *** results demonstrate that the proposed method can accurately estimate the unmeasured responses for CVCSs to reveal the actual characteristics in time-domain and ***,the average one-step estimation time of responses is less than the sampling ***,the proposed method is promising to on-line estimate the important responses of TV structures.

关键词： Data-based method Recurrent neural networks Time-varying structure Vibration monitoring Virtual sensing

Pulse-order recursive method for inverse covariance matrix computation applied to space-time adaptive processing

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Science China(Information Sciences) 2013年第4期56卷 123-134页

作者： YANG XiaoPeng LIU YongXu long teng School of Information and Electronics Beijing Institute of Technology

The conventional space-time adaptive processing(STAP) method such as the typical sample matrix inversion(SMI)-based STAP method is difficult to implement for a practical system because intense computational complexity arises in calculating the inversion of a space-time covariance matrix *** to the block Hermitian matrix property of space-time covariance matrix,a new pulse-order recursive method is proposed in this paper to calculate the inverse covariance matrix for the STAP adaptive weight,which can reduce the computational complexity *** proposed method requires initially calculating the inverse covariance matrix of the first pulse-order recursively based on the block Hermitian matrix *** the following,the inversion of space-time covariance matrix is obtained recursively based on the previous pulse-order inverse covariance ***,the STAP adaptive weight is calculated based on the inversion space-time covariance matrix previously *** with the conventional SMI-based STAP algorithms,the computational complexity of the proposed method is reduced to more than 50% for the same clutter suppression *** method can be applied to practical systems benefiting from small computational complexity and stable clutter suppression performance.

关键词： space-time adaptive processing recursive method computational complexity clutter suppression inverse covariance matrix

Robust and fast iterative sparse recovery method for space-time adaptive processing

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Science China(Information Sciences) 2016年第6期59卷 199-211页

作者： Xiaopeng YANG Yuze SUN Tao ZENG teng long Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology

Conventional space-time adaptive processing(STAP) requires large numbers of independent and identically distributed(i.i.d) training samples to ensure the performance of clutter suppression, which is hard to be achieved in practical complex nonhomogeneous environment. In order to improve the performance of clutter suppression with small training sample support, a robust and fast iterative sparse recovery method for STAP is proposed in this paper. In the proposed method, the sparse recovery of clutter spatial-temporal spectrum and the calibration of space-time overcomplete dictionary are achieved iteratively. Firstly, the robust solution of sparse recovery is derived by regularized processing, which can be calculated recursively based on the block Hermitian matrix property, afterwards the mismatch of space-time overcomplete dictionary is calibrated by minimizing the cost function. The proposed method can not only alleviate the effect of noise and dictionary mismatch, but also reduce the computational cost caused by direct matrix inversion. Finally, the proposed method is verified based on the simulated and the actual airborne phased array radar data, which shows that the proposed method is suitable for practical complex nonhomogeneous environment and provides better performance compared with conventional STAP methods.

关键词： space-time adaptive processing(STAP) sparse recovery robust iteration computational complexity