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Improved multiple hypothesis tracking using incomplete measurements for group targets 2

Improved multiple hypothesis tracking using incomplete measu...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Ni, Na Jiang, Qi Hu, Cheng Beijing Institute of Technology Radar Technology Research Institute School of Information and Electronics Beijing China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing China Beijing Institute of Technology The Advanced Technology Research Institute Jinan China

ISBN: (纸本)9798331515669

Tracking targets within a group has received much attention in the radar field recently years. Group targets are usually closely spaced with similar velocity, making it hard to distinguish multiple targets. For precise target tracking, the tracking radar usually employs a narrow beam to achieve the high range-angular resolution. However, targets may enter and exit the narrow beam frequently during the observation, bringing difficulty for stable tracking. Moreover, it is also hard to distinguish different targets when their tracks intersect on the range-doppler plane. These kinds of incomplete measurements increase the difficulty of group targets' association and tracking. Therefore, this paper proposes an improved multiple hypothesis tracking method using incomplete measurements. The adaptive detection probability model and track intersecting probability are combined in the multiple hypothesis tracking framework to reduce false associations and improve tracking performance. Finally, simulation and experiment results verified the effectiveness of the proposed method. © 2024 IEEE.

关键词： Target tracking

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ECHO MODELING FOR ASTEROIDS WITH ROUGH SURFACE IN GOUND-BASED SAR IMAGING

ECHO MODELING FOR ASTEROIDS WITH ROUGH SURFACE IN GOUND-BASE...

引用

IET International Radar Conference 2023, IRC 2023

作者： Zhou, Ziyi Zhu, Kaiwen Wei, Yangkai Ding, Zegang School of Information and Electronics Beijing Institute of Technology Beijing China BeijingKey Laboratory of Embedded Real-Time Information Processing Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China

ISBN: (纸本)9781839539954

With the development of radar imaging technology, asteroid imaging has become one of the focal points in astronomical radar research. However, in simulation and verification experiments for asteroids observation, the traditional point target approximation method is often inadequate in capturing geometric features and surface topography of asteroid. To address this issue, this paper proposes an improved method for generating asteroid echo specifically tailored for asteroid imaging tasks. Firstly, the relative motion between the radar and the asteroid is calculated to determine the slant range phase. Simultaneously, an amplitude factor that varies with the observation angle is introduced, correcting the isotropic scattering of traditional point target. Subsequently, considering the rough characteristic of asteroid surfaces, an echo generation process is presented based on the Monte Carlo method. Finally, computer simulation experiments are conducted to complete the echo generation and radar imaging of asteroid and its typical surface topography features. The experiments validate the correctness and effectiveness of the proposed method. © The Institution of Engineering & technology 2023.

关键词： Radar imaging

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The Verification System of Sliding Spotlight Mode SAR Imaging based on SoPC

The Verification System of Sliding Spotlight Mode SAR Imagin...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Hu, Shankang Xie, Yizhuang Lian, Jie Li, Bingyi Beijing Institute of Remote Sensing Equipmentt BeiJing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Institute of Radio Metrology and Measurement Beijing China

ISBN: (纸本)9781728123455

Aiming at the application background of sliding spotlight mode Synthetic Aperture Radar (SAR) imaging processing, this paper builds a System-on-a-Programmable-Chip-based (SoPC-based) sliding spotlight mode SAR imaging verification system, which uses software and hardware collaborative design method to complete algorithm-to-hardware mapping and can quickly and truly perform in FPGA or ASIC. Finally, we analyzed the implementation of the imaging prototype system and the imaging results. For the generation of correlation factors, this paper hierarchically decomposes the factor generation operation to realize the time division multiplexing of the operation unit, in order to reduce resource consumption. At the same time, a variable point Fast Fourier Transformation (FFT) processor based on a variable radix-23 multiplexing butterfly unit is designed and implemented. Combining these two parts with other modules enables the entire sliding spotlight mode imaging process. On the basis of keeping the error of the result small, the overall resource consumption is greatly reduced. The 102432768 point FFT is implemented by the top-level configurable method, and the operation delay is reduced by more than 20% compared with the Xilinx FFT IP core. The final imaging time is reduced to seconds, and the imaging results meet the requirements. Subsequent compatibility design for other SAR imaging modes also can be achieved. © 2019 IEEE.

关键词： Synthetic aperture radar

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An Adaptive Estimation Method for Group Target Number Based on information Theoretic Criterion 2

An Adaptive Estimation Method for Group Target Number Based ...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Dou, Libin Jiang, Qi Wang, Rui Shi, Mengxin Zhang, Jichuan Beijing Institute of Technology Radar Technology Research Institute School of Information and Electronics Beijing China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing China Beijing Institute of Technology The Advanced Technology Research Institute Jinan China

ISBN: (纸本)9798331515669

The number of individuals within a group is crucial information for the correct association, robust tracking, and situation awareness. Traditional methods using the range profile's peaks are not suitable when targets are densely distributed. The target number estimation algorithms based on monopulse systems have high computational complexity, while those based on array systems require additional sensor resources. To address these issues, this paper proposes a method based on multiple incoherent observations using one monopulse radar. By combining multiple incoherent observations from a single sensor with information theoretic criterion, this approach can estimate the number of targets even when the resolution of a single sensor is insufficient. The effectiveness of the algorithm is verified through simulations, and the algorithm's performance is analyzed. © 2024 IEEE.

关键词： Monopulse radar

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The squinted-looking SAR real-time imaging based on multi-core DSP

The squinted-looking SAR real-time imaging based on multi-co...

引用

IET International Radar Conference 2015

作者： Li, Congxin Jie, Long Cui, Lei Yao, Di Department of Electronic Engineering Beijing Institute of Technology Beijing100081 China Science and Technology on Information System Engineering Laboratory Beijing100038 China Beijing Key Laboratory of Embedded Real-Time Information Processing Beijing100081 China Key Laboratory of Electronic and Information Technology in Satellite Navigation Beijing100081 China

ISBN: (纸本)9781849199940

This paper presents a use of multi-core DSP TMS320C6678 for the squinted-looking synthetic aperture radars (SARs) real-time signal processing method. This paper first briefly introduces the squinted-looking SAR algorithm and analyzes the signal processing by use of spectral analysis (SPECAN). Then, according to the requirement of squinted-looking SAR real-time imaging system, the high performance TI multi-core DSP TMS320C6678 is used for realizing the imaging algorithm through the virtual single-node technology for data transmission and interaction and the parallel approach to data processing. Finally, the flight experiment is carried out and the results show that the virtual processing method meets the requirements of the real-time imaging based on the multi-core DSP hardware platform effectively.

关键词： Synthetic aperture radar

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Labeled Random Finite Sets-Based Group Target Tracking with Multi-Detection Model 2

Labeled Random Finite Sets-Based Group Target Tracking with ...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Jiao, Longxiang Jiang, Qi Wang, Rui Beijing Institute of Technology Radar Technology Research Institute School of Information and Electronics Beijing China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing China Beijing Institute of Technology The Advanced Technology Research Institute Jinan China

ISBN: (纸本)9798331515669

In radar tracking applications for low-altitude group targets (such as bird flocks or drone swarms), the traditional point target measurement model is often unsuitable due to the complex micro-Doppler signatures and multipath effects. Algorithms based on labeled random finite sets (RFS) challenges with multi-detection problems. This paper presents a new method for tracking low-altitude group targets using labeled RFS in radar systems. To mitigate the disturbance from multi-detection, we propose modified assignment cost matrices in the update process, which reduces the number of false associations, and thus achieves quality enhancement of trajectory estimations. The effectiveness of the proposed method is validated through simulation results. © 2024 IEEE.

关键词： Radar tracking

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LT-1 Differential Tomography: First Results and Comparison between Monostatic and Bistatic Systems 2

LT-1 Differential Tomography: First Results and Comparison b...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Zhou, Shimeng Chen, Zhiyang Li, Yuanhao Hu, Cheng Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China Beijing Institute of Technology Advanced Technology Research Institute Beijing100081 China Beijing Institute of Technology School of Information and Electronic Beijing China

ISBN: (纸本)9798331515669

Differential Tomography SAR technology integrates the advantages of Differential Interferometric SAR and Tomographic SAR, enabling four-dimensional imaging in areas with SAR layover to obtain elevation and deformation information of the target area. Compared to the traditional monostatic mode, the space-based bistatic observation mode has the advantages of interference immunity and richer information acquisition. This paper uses Differential Tomography SAR technology to perform deformation inversion on the LuTan-1 monostatic and space-based bistatic data. While obtaining the elevation information and linear deformation rate of the observed scene, it also compares the results and performance of Differential Tomography under the two different *** final conclusion is that LuTan-1 demonstrates strong capabilities in differential tomography. Additionally, the differential tomography performance of space-based bistatic systems is superior to that of monostatic systems. © 2024 IEEE.

关键词： Miocene

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Implementation and optimisation of pulse compression algorithm on open CL-based FPGA

Implementation and optimisation of pulse compression algorit...

引用

IET International Radar Conference 2018, IRC 2018

作者： Feng, Yingxu Hu, Shanqing Li, Xingming Yu, Jiacheng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Science and Technology Leike Electronic Information Technology Beijing10081 China

As Moore's law meets bottlenecks, the demand for heterogeneous parallel processing systems is increasing. Field-programmable gate arrays (FPGAs) are becoming more efficient acceleration devices due to their powerful processing performance, and the CPU + FPGA architecture under the OpenCL framework has become the trend of heterogeneous parallel processing systems. This study focuses on the optimisation of pulse compression algorithm in FPGA based on OpenCL, which plays an important role in modern radar signal processing systems. By using double cache for ping-pang storage of data between matched filter and inverse fast Fourier transform (IFFT), an optimised processing method is proposed by using a pipeline and verify the method by using Arria 10 GX1150 FPGA with two groups of 2 GB DDR3;the results show that the proposed method can achieve 2.89× performance improvement over the conventional implementation. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： Parallel processing systems

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Research on BP imaging algorithm parallelization using C6678 DSPs

Research on BP imaging algorithm parallelization using C6678...

引用

IET International Radar Conference 2015

作者： Zhao, Jiayun Yuan, Yuan Wang, Jinghua Jin, Ye Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China North China Institute of Computing Technology Beijing China Beijing Institute of Spacecraft System Engineering China Academy of Space Technology Beijing China

ISBN: (纸本)9781849199940

Compared to the traditional SAR imaging algorithm, Back Projection(BP) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in the imaging process. However, because of intensive computation and low efficiency, it's a new challengetostorage to capacity, throughput and processing ability of DSPs, a single DSP is not enough to meet these demands. So a parallel implementation method of BP algorithm based on TMS320C6678 DSP is proposed in this *** put forward a large point FFT multi-core parallel processing method on 2/4/8 cores what is frequently used in BP algorithm, and a multi-core synchronization method based on distributed memory. Finally using the measured data, we verify the parallel method can greatly enhance the multi-core parallelism, and the real-time performance of BP algorithm has been significantly improved.

关键词： Fast Fourier transforms

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ROBUST JOINT ASSOCIATION AND REGISTRATION UNDER LARGE SENSOR BIAS

ROBUST JOINT ASSOCIATION AND REGISTRATION UNDER LARGE SENSOR...

引用

IET International Radar Conference 2023, IRC 2023

作者： Ni, Na Jiang, Qi Mao, Huafeng Zhang, Jichuan Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

ISBN: (纸本)9781839539954

Radar observation of group targets has recently received much attention in the flight mechanism research and many other applications. Group targets are usually closely spaced with lots of missed detections and false alarms, making it difficult for spatial reconstruction. Multisensor systems make use of data from multiple radars to provide more accurate measurements and robust tracks than a single radar, playing an important role in the group targets observation. In the data fusion processes, multisensor measurements are associated after transformed into a global coordinate system. However, large sensor bias makes it difficult to associate measurements of closely spaced targets given outliers, and nonideal association further increase the sensor bias estimation error. In this paper, we proposed a robust joint association and registration method to simultaneously acquire sensor bias estimates and association results. A nonlinear least median of squares estimator is used to achieve better accuracy and robustness of sensor bias estimation. Simulation results show the better bias estimation and association performance of the proposed method compared to other algorithms. © The Institution of Engineering & technology 2023.

关键词： Radar measurement

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