三站匀扫波束时差定位及测量误差

该文针对仅由时差测量所得到的波束扫描角,并利用平面三角函数关系,即能直接在极坐标系中导出非直线不等间距三站阵列对匀速扫描雷达站的定位公式。应用误差估计理论所做的分析显示,基于匀速波束扫描时差测量的三站无源定位系统具有较高的测向精度,且在基线方向不存有测向盲区。采用非直线、不等距布阵亦能进一步有效降低测向误差。如V形布阵,则在阵列夹角的中心线上具有最小误差值。同时,误差分析亦表明,目前所给出的距离公式的测量误差还是较大的。     

地质雷达和瑞雷波检测公路工程质量技术研究

地球物理方法的应用,使公路工程质量检测技术变得更加简捷、高效和经济,能够有效缓解当前路况检测和公路工程维护所面临的压力.在介绍了地质雷达和瑞雷波探测法的基本工作原理的基础上,将这2种探测技术应用在公路工程质量检测中,详细介绍了它们对公路厚度、压实度、抗压强度、弯沉值、含水量、脱空区段等检测的具体实施方法和步骤,并指出了相关注意事项.分析认为,随着技术的更新和设备的完善,地质雷达和瑞雷波技术能够有效地应用到公路工程的质量检测过程中,有着很好的应用前景和推广价值.     

稀布阵综合脉冲孔径雷达方程及应用分析

基于常规监视雷达方程、结合稀布阵特点,修正给出了稀布阵综合脉冲孔径雷达方程推导,并分析讨论了该体制雷达的特有参数.通过对脉冲积累时间、等效功率孔径积的计算分析以及与常规雷达的探测威力对比,得出了该体制雷达具有作用距离远、探测慢速目标时脉冲积累时间长以及所需等效功率孔径积小等优点.该方程在论证和研究稀布阵综合脉冲孔径雷达探测威力方面更具有实用性,为进行该体制雷达初步设计提供了一个良好的工具.     

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。     

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.