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Moving targets detection and tracking under dynamic background based on multicore TMS320C6678

Moving targets detection and tracking under dynamic backgrou...

引用

IET International Radar Conference 2015

作者： Ge, Shanshan Zhao, Baojun Wang, Shuigen Ji, Meiping School of Information and Electronic Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China

ISBN: (纸本)9781849199940

In practical applications, target detection and tracking requires both high detection accuracy and good real-time performance, especially in the case of hardware implementation. Hence, the target detection and tracking algorithm should be simple and effective and the hardware needs to be powerful enough to meet the real-time requirement. In this paper, we proposed a moving target detection and tracking method based on fast corner detection and frame subtraction under dynamic background. An emerging eight-core DSP, i.e., TMS320C6678, is then adopted for the implementation of the proposed algorithm. Since it is multi-core, the algorithm can be divided into several small tasks executed in different cores simultaneously, which save running time dramatically. Experimental results show that the proposed method has good detection and tracking performance and TMS320C6678 is able to realize real-time tracking of the moving car under the dynamic background.

关键词： Edge detection

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Adaptive image compression system based on TMS320C6713

Adaptive image compression system based on TMS320C6713

引用

IET International Radar Conference 2015

作者： Li, Shuling Zhao, Baojun Tang, Linbo Ji, Meiping School of Information and Electronic Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China

ISBN: (纸本)9781849199940

A novel adaptive real-time image compression framework based on TMS320C6713 is presented in this paper. Via analyzing image texture, different compression ratio is applied for reducing the code stream. Owing to its low-cost, highspeed and low power performances, C6713 is selected as the main processor of framework. Firstly, the original image is transformed through lifting wavelet transform algorithm. Then, the resultant transformed data is encoded with zero tree wavelet, thereby completing the compression of 320x256 image with input bandwidth 2.34MB/s and output bandwidth 100kB/s. Moreover, the experimental results demonstrate that the adaptive image ratio can reach 25:1 with PSNR 30 and frame frequency can achieve 25fps with a high-speed processor.

关键词： Bandwidth

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Robust sound recognition method based on human auditory bionic processing

Robust sound recognition method based on human auditory bion...

引用

IET International Radar Conference 2015

作者： Li, Yuqing Yang, Xiaopeng Sun, Yuze Hu, Cheng Zeng, Tao Beijing Key Laboratory of Embedded Real-Time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

The sound recognition is considered as an effective tool to improve the performance of man-machine interaction. However, because of the non-ideal effect during the propagation and the extensive variation range of sound signal, it is quite difficult to achieve high accuracy target sound recognition for conventional sound recognition methods. In order to improve the performance of sound recognition, a robust sound recognition method based on human auditory bionic processing is proposed in this paper. In the proposed method, by analyzing the major function of human auditory system, the mathematical model of human auditory system is firstly developed to simulate the sound propagation in human auditory physiological processing. Then by extracting the muti-dimensional eigenvectors of the auditory spectrum, the feature of target sound signal is obtained. Afterwards, the recognition and classification of sound signal is achieved by the back-propagation (BP) neural network method. Based on the simulation of actual sound signal, it is verified that the proposed method can effectively simulate the sound propagation and achieve desirable sound recognition performance under noise condition.

关键词： Eigenvalues and eigenfunctions

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Research on the performance evaluation method of GPR clutter suppression

Research on the performance evaluation method of GPR clutter...

引用

IET International Radar Conference 2015

作者： Wang, Xun Li, Jinbing Ren, Xiaoyuan Liu, Haibo School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China

ISBN: (纸本)9781849199940

For ground penetrating radar (GPR), clutter suppression effect has an important role on target detection. Approaches based on minimal entropy, the signal to clutter ratio (SCR) and image contrast are widely used for assessment. These traditional approaches have inevitable defects. Such as, minimum entropy and image contrast methods lead to inaccurate image evaluation under the cases of heavy clutter. SCR method will be influenced by subjective feeling. This paper presents an adaptive SCR evaluation method. This method can evaluate clutter cancellation effect quantitatively without being influenced by subjective factors.

关键词： Radar clutter

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Rearch on digital compensation technology of wideband Phased Array Radar based on chirp signal

Rearch on digital compensation technology of wideband Phased...

引用

IET International Radar Conference 2015

作者： Liu, Haibo Wang, E. Li, Jinbing Ren, Xiaoyuan School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China

ISBN: (纸本)9781849199940

A wideband PAR (Phased Array Radar) implementation framework based on wide band digital intermediate frequency is proposed for aperture full time problem. A method compensating the aperture full time by digital stretch processing for chirp signal is presented. A compensation approach for RF channels phase consistency using phase adjustment of digital oscillator is also given. Experiment results based on hardware system indicate that the method is effective and engineering realizable.

关键词： Radar

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Derivative constrained Gram-Schmidt orthogonalization beamforming method with widened nulls

Derivative constrained Gram-Schmidt orthogonalization beamfo...

引用

IET International Radar Conference 2015

作者： Hu, Xiaona Song, Yuanyuan Sun, Yuze Yang, Xiaopeng Beijing Key Laboratory of Embedded Real-Time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

The performance of the conventional Gram-Schmidt orthogonalization of covariance matrix (RGS) beamforming method will decrease significantly when non-ideal factors exists such as the appearances of fast moving interferences, array platform movement. In order to improve the robustness of interference suppression, a derivative constrained Gram-Schmidt orthogonalization of covariance matrix (CRGS) beamforming method with widened nulls is proposed in this paper. In the proposed method, the number of interference P is initially estimated and the first subspace is reconstructed by Gram-Schmidt orthogonalization of the first P columns of sample covariance matrix. Afterwards, the derivative constrained vectors and the second subspace spanned of these vectors are constructed. At last the adaptive weight vector is obtained by orthogonally projecting the quiescent weight vector onto the interference subspace made up of the first subspace and the second subspace. Based on the numeral simulation results, it is verified that the proposed method can form widened nulls and effectively improve the robustness of interference suppression.

关键词： Covariance matrix

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Improved orthogonal projection adaptive beamforming based on normalization at subarray level

Improved orthogonal projection adaptive beamforming based on...

引用

IET International Radar Conference 2015

作者： Li, Shuai Yang, Xiaopeng Hu, Xiaona Guo, Liyong Beijing Key Laboratory of Embedded Real-Time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

Orthogonal projection (OP) adaptive beamforming is widely applied in practical scenarios because of strong robustness. However, the performance of traditional OP adaptive beamforming would degrade severely when OP adaptive beamforming is applied at subarray level, especially in asymmetrical subarray configuration. To overcome this problem, the improved orthogonal projection (IOP) adaptive beamforming based on normalization at subarray level is proposed. In the proposed method, the covariance matrix is firstly modified by normalizing the noise power at subarray level. Subsequently, the interference subspace is estimated by eigenvalue decomposition, and then the adaptive weight is calculated by using OP adaptive beamforming. Numeral simulation results show that the proposed method at subarray level outperforms the traditional OP adaptive beamforming and the output signal-to-interference-plus-noise ratio (SINR) is close to the optimum value. The proposed method can be significantly effective in practical applications.

关键词： Covariance matrix

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Subarray partition method based on division position coding genetic algorithm

Subarray partition method based on division position coding ...

引用

IET International Radar Conference 2015

作者： Xi, Wen Yang, Xiaopeng Sun, Yuze Zeng, Tao Beijing Key Laboratory of Embedded Real-Time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

This paper proposed a genetic algorithm based on division position coding to solve the optimization of subarray partition in monopulse application, which aims at finding the best compromise between sum and difference patterns. In the proposed method, the division position is encoded as a chromosome gene, then the initial population is randomly generated by a series of non-repeated integers, and the fitness calculation and genetic operation are subtly designed to improve the convergence and stability. Various numeral simulation results are presented to verify the effectiveness of the proposed method.

关键词： Genetic algorithms

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Iterative roubust sparse recoery method based on FOCUSS for space-time adaptive processing

Iterative roubust sparse recoery method based on FOCUSS for ...

引用

IET International Radar Conference 2015

作者： Yang, Xiaopeng Sun, Yuze Zeng, Tao Long, Teng Beijing Key Laboratory of Embedded Real-Time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

Conventional Space-time adaptive processing (STAP) requires large numbers of independent and identically distributed (i.i.d.) training samples to ensure the clutter suppression performance, which is hard to be achieved in nonhomogeneous environment. In order to obtain improved clutter suppression with small training support, an iterative sparse recovery STAP algorithm is proposed in this paper. In the proposed method, the clutter spectrum sparse recovery and the calibration of space-time overcomplete dictionary are implemented iteratively, modified focal underdetermined system solution (FOCUSS) with recursive calculation is used to alleviate the recovery error and reduce the computational cost, meanwhile the mismatch of space-time overcomplete dictionary is calibrated by minimized the cost function. Based on the simulated and the actual data, it is verified that the proposed method can not only converge with much smaller training samples compared with conventional STAP methods, but also provide improved performance compared with existing sparsity-based STAP methods.

关键词： Space time adaptive processing

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Joint slow/fast-time pulse diversity method for countering range gate pull off jamming

Joint slow/fast-time pulse diversity method for countering r...

引用

IET International Radar Conference 2015

作者： Li, Wei Liu, Wei Guo, Liyong Yang, Xiaopeng Beijing Key Laboratory of Embedded Real-Time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

The range gate pull off (RGPO) jamming is considered as common electronic countermeasures (ECM) technique used to deceive radar tracking system. Under the stationary assumption, traditional slow-time pulse diversity approach needs several pulse repetition intervals (PRIs). However in the presence of RGPO, jamming signals would change fast over PRIs, making stationary hypothesis invalid. Therefore in order to solve this problem, a jamming cancelation approach based on the theory of pulse diversity is proposed in this paper to suppress deception RGPO jamming. In the proposed method, different from the conventional slow-time method, the proposed joint slow/fast time method implements a transmission pulse block in half quantity of PRI, which is designed based on the orthogonal block structure. Then after a simple one-step matched-filtering operation, jamming signal under RGPO can be suppressed efficiently. Since the cancellation process can be completed within one PRI, the stationary hypothesis is no longer needed. Based on the numeral simulations, it is verified that the proposed method is effective for countering RGPO jamming in rapidly changing condition.

关键词： Digital radio

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