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检索条件"机构=Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded"

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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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TOA estimation for unkonwn signal under low SNR condition based on accumulation

TOA estimation for unkonwn signal under low SNR condition ba...

引用

IET International Radar Conference 2015

作者： Xu, J.C. Ren, L.X. Jiang, Z.Y. Mao, E.K. Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China

ISBN: (纸本)9781785610387

This paper presents a novel low complexity TOA estimation method for unknown signal under low SNR condition, especially for inner-pulse modulated signal. In this new method, received signal is firstly pre-processed by multiplying its delayed conjugation to reduce intra-pulse modulation. Then a refined coherent accumulation is applied to achieve a precise TOA estimation result. Simulation results show that this new method can achieve an accurate TOA estimation for unknown signal under low SNR condition.

关键词： Coherent accumulation Multiplication with delayed conjugation TOA estimation

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Research on amplitude-phase error for LFMCW radar

Research on amplitude-phase error for LFMCW radar

引用

IET International Radar Conference 2015

作者： Mei, Maokui Tian, Weiming Yin, Lilei Zeng, Tao School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China

ISBN: (纸本)9781849199940

FMCW radar with deramping technique has many advantages comparing to traditional pulse radar. But the expressing of signal error becomes more complicated. The distortions on amplitude and phase are unavoidable for wide bandwidth and wide pulse signal, which have a serious impact on the imaging quality. Aiming at the problem of signal error correction, the echo signal model of FMCW radar with amplitude-phase error was established in this paper. The analysis of error estimation and correction were investigated in detail especially for non-linear phase error. And a practical solution was presented to reduce the effects from the distortions. The processing and results were proved through theoretical derivation and simulation analysis validation. And this method has significantly improved the range resolution and calibrated the position deviation. Additionally, this algorithm has a strong practicability, due to considering both the indicator and real-time imaging processing algorithm costs.

关键词： Error correction

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A high resolution medium penetrating imaging radar system

A high resolution medium penetrating imaging radar system

引用

IET International Radar Conference 2015

作者： Ren, Xiao-Yuan Liu, Hai-Bo Li, Jin-Bing School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China

ISBN: (纸本)9781849199940

High resolution medium penetrating imaging radar is a kind of important equipment which can be widely used in military, security, construction and other fields. For the sake of imaging the target buried in the medium fast and in high resolution, this paper analyzes the theory of high resolution medium penetrating imaging, proposes two dimensional fast scan method which combine column staggered array antenna with lead rail, presents the process of near field synthetic aperture imaging and structure of the prototype. In the end, the result of imaging test of the prototype is given. The prototype can penetrate 2.5cm board and image the small target, the imaging resolution is better than 1cm.

关键词： Radar imaging

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A clutter suppression method of ground penetrating radar for detecting shallow surface target

A clutter suppression method of ground penetrating radar for...

引用

IET International Radar Conference 2015

作者： Wang, Xun Liu, Hai-Bo Meng, Zheng School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology China

ISBN: (纸本)9781849199940

GPR for detecting shallow surface target has heavy clutter and target echo cannot be distinguished easily. This paper proposes a PCA-SVD mixed clutter suppression method to realize dimension reduction and reconstruction, which can improve the performance of clutter suppression effectively. SVD processing remove direct wave, firstly. Then PCA remove uncancelled clutter and remove noise. At last, we design an experiment to validate the performance of clutter suppression.

关键词： Ground penetrating radar systems

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