单站单通道GPS欺骗干扰方法

为使敌方侦察无人机抵近侦查时我方能快速反应,针对分布式欺骗干扰难以迅速部署并做出干扰的情况,研究了单站单通道下的全球定位系统(GPS)欺骗干扰.首先分析了该模式下欺骗位置与干扰机位置和欺骗信号延迟时间的关系;然后结合无人机导航系统及飞行控制原理,讨论了欺骗干扰对无人机导航系统的效果及定位被欺骗后的飞行情况,给出了单架干扰机利用单通道执行欺骗干扰的方法.仿真结果表明,该欺骗方法能够使无人机定位输出结果是干扰机的位置,并逐步诱骗敌方无人机至指定位置或区域内.     

改进的对星载SAR的应答式欺骗干扰

分析了对星载SAR的应答式欺骗干扰,并对其进行了改进。改进后的干扰方式只需从敌方雷达信号中估计信号的多普勒斜率、雷达飞行速度和脉冲重复频率,并且实现简单。讨论了参数估计精度对干扰信号成像的影响,结果表明该方法对参数精度要求不高。指出了多普勒斜率估计的方法,通过仿真实验验证了理论分析的正确性和方法的有效性,这对欺骗干扰信号生成算法和欺骗干扰的实现具有重要意义。     

基于单站无源定位的抗自卫式欺骗干扰方法

欺骗干扰针对有源雷达的定位原理,通过对接收到的雷达信号进行延时、调制、转发,实现对距离、速度信息的欺骗．鉴于无源定位只利用一次来波的信息,可从欺骗信号中提取辐射源的信息来实现对干扰机的有效定位．提出了一种地面雷达对抗自卫式欺骗干扰的新方法．该方法通过高精度测量欺骗信号中多普勒频率变化率等拳数,利用单站无源定位技术获得干扰源的真实位置信息,并通过跟踪滤波技术提高定位精度．仿真结果表明,在较高参数测量精度下该方法能有效对抗距离-速度欺骗干扰．     

转发式欺骗信号干扰GPS接收机的效能分析

根据GPS接收机对GPS信号的捕获原理,推导出GPS接收机对转发式欺骗干扰的捕获概率,通过仿真得到了典型条件下GPS接收机对转发式欺骗干扰和GPS卫星信号的捕获概率曲线,表明转发式干扰机只需有较小的转发增益,GPS接收机对转发式欺骗干扰即有更高的捕获概率.     

基于两视处理的单通道SAR地面运动目标检测和定位

提出一种基于两视处理的单通道合成孔径雷达运动目标检测和定位方法．该方法根据静止场景和运动目标的多普勒谱的偏移不同,先把回波的多普勒谱分成对称两段分别成像。然后对两子视合成孔径雷达图像进行非相干相减，从而对消地杂波，增强数据的信杂噪比,提高运动目标检测能力,在对运动目标进行定位时．从合成孔径雷达图像中加窗取出运动目标的复信号并计算其多普勒谱。通过估计运动目标多普勒谱相对于静止目标的平移量．可对运动目标进行较准确的定位并可进一步降低虚警概率。     

基于STK/Matlab的雷达对抗场景动态可视化仿真研究

战前进行雷达对抗场景的仿真推演能够有效地节约演习成本.利用STK和Matlab两种软件对雷达对抗场景的动态可视化仿真进行了研究.按照雷达对抗场景要求,首先给出了目标雷达模型和跨周期相位调制干扰模型;然后提出了一种雷达对抗场景的动态可视化建模方案;最后给出了干扰机对目标雷达实施干扰过程的动态可视化建模和干扰效能的仿真分析.仿真结果表明,动态的雷达对抗场景下,跨周期相位调制能够实现航迹欺骗干扰,当运动目标靠近干扰航迹或与干扰航迹重合时,雷达将无法对目标信号进行有效检测.     

太赫兹SAR高频振动误差补偿方法

太赫兹合成孔径雷达(SAR)系统或者搭载平台的微小高频振动会导致图像结果产生若干虚假点,严重影响图像质量.针对传统补偿方法对这种高频振动误差补偿存在的局限性,提出一种基于小波滤波的补偿方法.该方法首先对回波信号进行相位提取,然后应用小波滤波方法分离得到高频振动误差,最后对回波信号进行补偿.同时,分析了该方法的距离向空变...     

条带式合成孔径声呐相位梯度自聚焦算法

相位梯度自聚焦(PGA)算法是一种稳健的高分辨SAR相位校正方法,在SAR领域得到广泛应用;但PGA是针对聚束式合成孔径雷达提出的,不能直接用于条带式合成孔径声呐,为补偿小运动误差对合成孔径声纳图像造成的影响,文中考察了条带式合成孔径声呐运动误差模型和聚束合成孔径声呐运动误差模型之间的内在关系,推导了条带式合成孔径声呐的误差模型,提出了把相位梯度自聚焦应用到条带式合成孔径声呐的相应方式.首先,将条带式合成孔径声呐的成像沿方位向分割为有重叠的小的条带,然后,用聚束式PGA算法分别对各分块后的图像进行自聚焦处理,最后将各聚焦后的分块图像以适当的方式拼接在一起形成新的图像,从而实现条带模式合成孔径声呐的PGA处理.水池数据的处理证实了本文方法的可行性和有效性.     

联合误差估计的机载超高分辨率SAR成像

针对机载超高分辨率合成孔径雷达存在运动误差严重影响成像质量的问题,提出一种联合误差估计的超高分辨率成像方法。首先,依据合成孔径雷达成像几何,将惯导投影到斜距平面坐标系,反演出运动误差,通过插值运算完成距离空变粗补偿;接着,为了有效结合运动补偿,采用改进施托克插值的距离徙动算法完成徙动校正;利用子孔径误差相位提取和全孔径拼接的方法,完成运动误差的精估计和补偿;采用图像偏移算法实现残余方位空变误差相位估计和补偿。完成以上徙动校正和运动补偿后,对方位全孔径数据进行匹配滤波,得到超高分辨率合成孔径雷达成像结果。采用所提算法对机载X波段和Ku波段实测数据进行成像,得到二维0.05m超高分辨率成像结果,验证了该方法的有效性和实用性。     

宽带跟踪雷达解线频调接收的回波相干化方法

为了降低采样带宽,提出了一种通过硬件粗控解线频调参考信号的延时,根据参考信号与基准信号的关系对参考信号延时误差所引入的多普勒相位误差进行精确补偿,从而可将逆合成孔径雷达中的解线频调回波相干化的新方法．此方法可以加快成像速度,并且对低信噪比条件下的逆合成孔径雷达成像非常有益．     

利用回波数据的高分宽测机载SAR运动误差提取方法

为实现高分辨宽测绘带SAR成像,提出一种基于回波数据的高分辨宽测绘带机载SAR运动误差提取方法,有效弥补了基于惯性测量单元/全球定位系统(INS/GPS)提取的运动误差精度低的问题.首先采用一种基于图像对比度最优的方法对SAR回波数据进行相位误差估计,然后利用加权总体最小二乘(WTLS)基于空变相位误差模型反演运动轨迹...     

Simulation of Raw Signal for Spaceborne Synthetic Aperture Radar(SAR)

oINTRoDUCTIoNSpaceborneSARsystemsaredevelopingveryfastintermsoftechnologyandapplicationandthefeasibilityofspaceborneSARhasalreadybeendemonstratedbySeasat,ShuttleImagingRadars,ERS-l,-2andRadarsat,etc[lf'].However,asanimpor-tantremotesensingtool,SARneedsfurtherresearch,andsystemdesignersneedtomorecomprehensivelyunderstandallaspectsaffect-ingSARsystemandimage,andthismakesitnecessarytodevelopamode1forsimulationofrawsignal.Mainly,twomodelshavebeenused,andoneisSARSlMI5loperatingonpulse…     

地球同步轨道SAR曲线轨迹二维空间分辨率分析

针对地球同步轨道合成孔径雷达(GEO SAR)中,卫星轨道是曲线轨迹,且由于地球自转等因素的影响,卫星相对于点目标的运动轨迹没有显式表达式,且航迹速度在不同的卫星轨道位置差异很大的问题,提出了一种基于相位梯度分析的高轨SAR二维空间分辨率计算方法.文中提出了一种猜想,并采用介值定理证明:在合成孔径时间内,存在1个等效航迹速度,使得理论方位向分辨率位于1个范围之内,并计算得到了该方位向分辨率范围.最后,后向投影算法仿真实验验证了该方法的有效性.     

Image Combination Analysis in SPECAN Algorithm of Spaceborne SAR

An analysis of image combination in SPECAN algorithm is delivered in time-frequency domain in de-tail and a new image combination method is proposed. For four multi-looks processing one sub-aperture data in every three sub-apertures is processed in this combination method. The continual sub-aperture processing in SPECAN algorithm is realized and the processing efficiency can be dramatically increased. A new parameter is also put forward to measure the processing efficient of SAR image processing. Finally, the raw data of RADARSAT are used to test the method and the result proves that this method is feasible to be used in SPECAN algorithm of spaceborne SAR and can improve processing efficiently. SPECAN algorithm with this method can be used in quick-look imaging.     

Improved method for SAR echo signal simulation using two-dimensional frequency domain transformation

The echo signal simulation of Synthetic Aperture Radar (SAR) is the basis of the research on SAR signal processing, and the large computation cost is the primary shortcomings of the frequently-used echo signal simulation method. Using the theory that Stolt transformation can simulate the so-called space-varying property of range migration, the IωKA algorithm becomes an impressive fast echo signal simulation method for the extended scenes in the two-dimensional frequency domain, and the computational cost and operation time is cut down sharply. According to the analysis, the key to the IωKA algorithm is the interpolation for the Stolt transformation, and the signal before interpolation in the IωKA algorithm can be seen as a band-limited signal in the strict sense, which is greatly different from that in the ωKA algorithm and may has a great effect on the selection of the interpolation algorithm and the interpolation performance. By preprocessing, the signal before interpolation in the IωKA algorithm is transformed into a baseband band-limited signal in the strict sense, which improves the interpolation performance, reduces the complexity of the interpolation, and enlarges the application range of the algorithm. Experimental result shows that if the error introduced by the simulation is regarded as noise, the error level of our method is much less than the system noise. Also, Compared with the other 2-D frequency-domain simulation methods, this method has a small amplitude error and phase error, and could be applied to the whole strip mode SAR with varieties of squint angles and wide-beam.     

New method for azimuth-dependent correction of highly squint missile-borne SAR subaperture imaging

Squinted imaging is one of the most important modes in the missile-borne synthetic aperture radar (SAR). Usually, from the view of practical applications, the missile-borne SAR adopts subaperture processing in order to implement quick look imaging. In the highly squint mode, the echo signal couples greatly between range and azimuth, so traditional algorithms perform the linear range walk correction in the azimuth time domain firstly to mitigate greatly the range-azimuth coupling, which causes the problem of position dependent azimuth phase, resulting in the azimuth uniform processing disabled and impacting the azimuth depth of focus (DOF). Based on the deep analysis of the instantaneous slant range model in the highly squint missile-borne SAR, this paper proposes high-order phase filtering to correct azimuth-dependence for implementing the identical azimuth-focusing processing. Simulation results validate the effectiveness of the proposed algorithm.     

利用SPECAN算法的聚束SAR成像处理

讨论了距离向去调频聚束模式SAR信号的回波模型及特点,通过对聚束SAR信号的时、频域关系的分析,给出了适合去调频后的聚束SAR数据的成像算法。该算法结合了SPECAN算法高效和标准条带成像算法精确的优点,首先采用SPECAN算法对原始数据距离向去斜,其次采用距离-多普勒算法实现方位精确聚焦,与传统的距离-多普勒算法相比,成倍地降低处理的数据量,从而可实现聚束SAR的实时成像处理。对Ku波段实际飞行数据采用该算法压缩得到高分辨率的图像,验证了理论分析的正确性和所用方法的可行性。     

Motion compensation approach for wide-swath missile-borne SAR imagery

In wide-swath missile-borne synthetic aperture radar (SAR) imaging, the range-variant residual phase modulation, which is introduced by the presence of trajectory deviations, will seriously degrade the focusing quality of the final image. To deal with this problem, a motion compensation approach for missile-borne SAR is proposed. In the approach, the signal model of motion error for diving movement is established. Then, according to the inertial navigation system (INS) information, the range-variant residual Doppler rates of the echoes are extracted by using the Doppler rate estimation, on the basis of which the corresponding phase error can be calculated and compensated. Simulation results show that, by using the proposed approach, the influences of the motion error on focusing are greatly reduced with the well focused image obtained.     

Parameter adaptive SAR image denoising method

In the traditional SAR image nonlocal means denoising algorithms, the patch similarity is measured by the accumulation of the pixel similarities, and a good denoising performance can be obtained for the additive noise model. This paper extends this idea to the multiplicative noise model for the SAR image, and improves the PPB (Probabilistic Patch-Based) algorithm under the weighted maximum likelihood estimation framework. Since the parameters setting in the PPB algorithm is complicated and it cannot adaptively get the best performance, this paper proposes a particle swarm optimization based parameter adaptive nonlocal means algorithm for SAR image denoising. Finally, experiments compared with the canonical PPB method on the real SAR image are carried out. Experiments demonstrate that the proposed method has a good performance in speckle reduction and details preservation.