车载毫米波雷达Bootloader的设计与实现

毫米波雷达用于盲区监测系统时,一种连接方法是仅一个雷达挂接在车身网络上,而另一个雷达无法直接与车身网络通信,因此也无法通过OBD直接升级软件。该文提出一套基于UDS的软件升级方案,在传统下位机Bootloader中增加主从通讯功能,使得两个雷达能同时完成软件升级。经实际应用,设计的Bootloader在盲区监测系统和前碰撞预警系统中都能可靠地升级应用软件。     

相控阵天气雷达站环境参数计算及评估系统研发

作为S波段新一代天气雷达的重要补充,目前广东省正加快建设X波段双极化相控阵天气雷达;如何更好地做好优化布局提升全网覆盖率和探测能力,站点选择是否科学合理显得尤为重要;文章设计一套全新的基于数字高程DEM的探测环境参数智能分析系统,客观、定量、自动计算探测净空投影面积、净空占总投影面积比例、投影阻挡面积比例、探测净空体积、静锥盲区体积、低空盲区体积、扫描立体空域完备度等,在现场选址时能够1分钟内输出综合分析结果和建议;作为辅助选址系统,已经在广东省26部X波段双极化相控阵天气雷达选址中应用,输出结论对现场选址起到了很好的指导性作用,为雷达系统建设快速提供科学决策依据.     

2-D Doppler shift-frequency intermittent sampling jamming against SAR

To generate the false targets in the desired area accurately, a novel two dimensional(2-D) intermittent sampling jamming algorithm against synthetic aperture radar(SAR) is presented. The intercepted radar signals are processed via 2-D intermittent sampling and Doppler shift-frequency and retransmitted to radar. Hence, the false target-lattice emerges in the specified area. The generation mechanism, position and distribution characteristics of false target-lattice are discussed. Meanwhile, the reason for the asymmetric amplitude of the target false-lattice and the modulation factor of energy compensation are presented. The correctness of theoretical analysis and validity of the proposed algorithm are verified through simulation experiments. Compared with conventional methods, the critical requirement of the jammer position can be reduced by the proposed method.     

MIMO radar waveform design in the presence of clutter and colored noise

The existing MIMO radar waveform design methods only deal with the optimization of radar waveform with the presence of clutter or colored noise, and unfortunately can not get the optimal waveform with the scenario when the clutter and colored noise coexist, which is more realistic in practical applications. To address this problem, a novel MIMO radar waveform design method based on mutual information in the presence of clutter and colored noise is proposed. The proposed scheme considers the influence of the target's response, clutter and colored noise on the optimization of the radar waveform. The mathematical expression for the transmit waveform matrix is achieved by theoretical derivation. What is more important, an optimal pairing of the eigenvectors of the target, clutter and colored noise is given and the power allocation for each antenna is optimized by the water-filling method. Simulation results show that when the total transmit power is 10dB, the proposed method's MI is 8bit and 4bit more than that of the general water-filling method and the method which only considers the pairing of the target's response and noise, respectively.     

Radio frequency interference suppression algorithm in the spatial domian for high-frequency radars

Radio frequency interference suppression is a very important issue in applications of high-frequency surface wave radar. This paper proposes a new interference suppression algorithm which makes use of RF interference azimuth information on the basis of learning common RF interference suppression algorithms and spatial spectrum estimation. First, we apply the MUSIC algorithm to estimate the interference azimuth and obtains the interference's signal space after the first Fourier transform; next, we use space decomposition to decompose the radar echo and obtain interference components; last, we subtract radio frequency interference components from the original signals. This algorithm can do great amount of RF interference suppression in actual data and get good results.     

Fast method for SAR echo simulation of a three-dimensional ground scene

Due to huge calculation of SAR echo simulation of a three-dimensional (3D) ground scene, a fast simulation method is proposed. First, the data of a 3D ground scene are fractionally interpolated based on the Fractional Brownian Motion (FBM) model. Second, the data interpolated are divided into lots of small facets whose precision meets the simulation requirement, the backscattering coefficients of the small facets are calculated. Third, the shaded area is judged by the comparison method of overlook angles. Three parallel levels are analyzed and the kernel function is designed. Finally, the computing method of reduction adding and external thread are also utilized under the framework of GPU in order to get high efficiency. With the methods mentioned above, the imaging result of experimental DEM data verifies the validity and superiority of the proposed method.     

Single Radar Measurement Method for Antiaircraft Projectile Miss Distance

To measure miss distance for antiaircraft projectile,a radial velocity identification and positioning method with a single radar is proposed.By analyzing the spatial resolution of multi-frequency ranging radar,the discrimination and testing model of this radar for multi-targets (projectile and target) is established to analyze the systematic error of antiaircraft miss distance.Then through the aerial target flight test and contrast test with optical test equipment,the validity of the measurement method is verified.This new method has the potential to be used in the measurement of antiaircraft projectile miss distance.     

ISAR imaging algorithm for targets with the complex motion based on the high-order ambiguity function-Lv's distribution

In ISAR imaging for targets with the complex motion, since the azimuth high order phase terms caused by the time-varying rotation vector will deteriorate the azimuth focusing quality, the traditional RD algorithm and LFM model are not appropriate. Thereby, in the case when the received signal can be modeled as cubic phase signals (CPSs), this paper proposes an ISAR imaging algorithm based on HAF-LVD (high-order ambiguity function-Lv's distribution). First, this algorithm defines a novel double lag parametric instantaneous autocorrelation function, and then applies the scaling operator to remove the coupling and utilizes FFT to achieve the energy accumulation. Finally, the non-searching estimation of the moving parameter and the ISAR images for targets are accomplished by the obtained HAF-LVD. Because of the introduction of the scaling factor, this algorithm can flexibly deal with more changeful and hostile ISAR environment without loss of the anti-noise performance and computational efficiency. Simulation results validate the effectiveness of the ISAR imaging approach.     

基于ANSYS的某型雷达稳定平台的有限元分析与优化

针对某方提出的在能实现功能的基础上,质量更轻、刚度更大的要求,设计了某型雷达稳定平台。运用Creo软件进行了雷达稳定平台的建模,简化后导入ANSYS软件中建立有限元模型。在建立有限元模型时,分别采用了不同划分网格的方法。改变了网格划分的方法,改变网格的关联中心,改变网格的关联度,改变网格细化度,进行网格质量比较,最终得到网格质量最好的有限元模型。网格畸变度从0.6达到了0.27。进一步改变平台的材料,并进行了模态分析,得到了平台前六阶固有频率。分析结果表明,改进设计使刚度基本不变,但是质量减轻了34.5kg,减轻了17.7%。稳定平台的结构设计方法、提高网格质量的方法和材料的改变方法,为同类设计与分析提供了参考。     

Unsupervised SAR image segmentation using TMF and belief propagation

To solve the problem that the traditional statistical inference approach for the triplet Markov fields (TMF) model cannot balance segmentation accuracy and computational efficiency, an efficient statistical inference approach for the TMF model using belief propagation is proposed, and then applied to unsupervised synthetic aperture radar (SAR) image segmentation. The algorithm combines the TMF model and the statistical property of the SAR image, and translates the segmentation problem into maximization of the posterior marginal (MPM) estimation. For the two label fields in TMF, the belief propagation algorithm is generalized to the bivariate case to estimate the joint posterior marginal probability of the two label fields through message passing. The two label fields can be simultaneously estimated according to the MPM criterion. Experiments on both simulated and real SAR images demonstrate that the proposed algorithm can efficiently suppress the influence of the speckle, and obtain accurate segmentation results with a reasonable computational cost.