Recognition Method Based on Wigner-Hough Transform for Poly-Phase Code Radar Signal

In order to solve the recognition of polyphase code radar signal, this paper gives two methods based on Frank code, i.e. the high-order spectrum recognition method and the fractional Fourier transform (FRFT) method, by analyzing the micro characteristics of polyphase code signals in time and frequency domain respectively. And a recognition algorithm based on Wigner-Hough transform (WHT) is developed in this paper. We verify the validity of each method by computer simulation and give relative merits and demerits. A set of results demonstrate that the algorithm based on Wigner-Hough transform has better recognition performance in low signal-to-noise (SNR) than others.

Implementation of a kind of FPGA-based binary phase coded radar signal processor architecture

A flexible field programmable gate array based radar signal processor is presented. The radar signal processor mainly consists of five functional modules： radar system timer, binary phase coded pulse compression（PC）, moving target detection （MTD）, constant false alarm rate （CFAR） and target dots processing. Preliminary target dots information is obtained in PC, MTD, and CFAR modules and Nios I! CPU is used for target dots combination and false sidelobe target removing. Sys- tem on programmable chip （SOPC） technique is adopted in the system in which SDRAM is used to cache data. Finally, a FPGA-based binary phase coded radar signal processor is realized and simula- tion result is given.

Kravchenko probabilityweight functions in problems of radar signals correlation processing

In this report the combined method of correlation radar signal(RS)processing based on the theory of atomic functions(AF)is examined.Examples of using of new Kravchenko probability weight functions(WF)designs are presented.Quality functional to estimate accuracy and efficiency of RS processing for concrete physical models is constructed.It is shown that the proposed approach significantly improves the quality of the coherent analysis of RS.

Polyphase coded signal design for MIMO radar using MO-MicPSO

A novel modified optimization technique known as the multi-objective micro particle swarm optimization（MO-MicPSO） is proposed for polyphase coded signal design.The proposed MO-MicPSO requires only a small population size compared with the standard particle swarm optimization that uses a larger population size.This new method is guided by an elite archive to finish the multi-objective optimization.The orthogonal polyphase coded signal（OPCS） can fundamentally improve the multiple input multiple output（MIMO） radar system performance,with which the radar system has high resolution and abundant signal channels.Simulation results on the polyphase coded signal design show that the MO-MicPSO can perform quite well for this high-dimensional multi-objective optimized problem.Compared with particle swarm optimization or genetic algorithm,the proposed MO-MicPSO has a better optimized efficiency and less time consumption.

Target detection using CDMA based passive bistatic radar

Recently, the code division multiple access （CDMA） waveform exists in the large area across the world. However, when using the CDMA system as the illuminator of opportunity for the passive bistatic radar （PBR）, there exists interference not only from the base station used as the illuminator of opportunity but also from other base stations with the same frequency. And be cause in the CDMA system, the signal transmitted by each base station is different, using the direct signal of one base station can not cancel the interference from other base stations. A CDMA based PBR using an element linear array antenna as both the reference antenna and surveillance antenna is introduced. To deal with the interference in this PBR system, an adaptive temporal cancellation algorithm is used to remove the interference from the base station used as the illuminator of opportunity firstly. And then a robust adaptive beamformer is used to suppress the interference from other base stations. Finally, the preliminary experiment re sults demonstrate the feasibility of using CDMA signals as a radar waveform.

Angle estimation for bistatic MIMO radar with unknown mutual coupling based on three-way compressive sensing

The problem of angle estimation for bistatic multiple-input multiple-output radar in the present of unknown mutual coupling (MC) is investigated, and a three-way compressive sensing (TWCS) estimation algorithm is developed. To exploit the inherent multi-dimensional structure of received data, a trilinear tensor model is firstly formulated. Then the de-coupling operation is followed. Thereafter, the high-order singular value decomposition is applied to compress the high dimensional tensor to a much smaller one. The estimation of the compressed direction matrices are linked to the compressed trilinear model, and finally two over-complete dictionaries are constructed for angle estimation. Also, Cramer-Rao bounds for angle and MC estimation are derived. The proposed TWCS algorithm is effective from the perspective of estimation accuracy as well as the computational complexity, and it can achieve automatically paired angle estimation. Simulation results show that the proposed method has much better estimation accuracy than the existing algorithms in the low signal-to-noise ratio scenario, and its estimation performance is very close to the parallel factor analysis (PARAFAC) algorithm at the high SNR regions. © 2017 Beijing Institute of Aerospace Information.

基于新型高功率微波的雷达探测技术研究

本文研究提出一种新型高功率微波窄脉冲,能够具备雷达探测能力,适用于解决单脉冲探测雷达功率不足的问题。新型高功率微窄脉冲为ns级脉冲信号,具备中心载频信息并且具有超高重频、超高功率、超高带宽的特性。根据该脉冲特性,本文深入探索提出一种基于新型高功率微波的雷达探测方法,该方法采用基于脉冲路径编码压缩的物理脉冲压缩方式获得一种新型高功率微波窄脉冲,通过单脉冲探测的方式实现对目标探测侦察。经数值仿真模拟与实际测量对比分析表明,对于探测雷达系统而言,基于脉冲路径编码压缩方法能够在现有功率源基础上提高20 dB以上的信号增益。通过多目标探测实验验证,新型高功率微波雷达系统能够有效探测目标,其系统距离测量精度误差小于5‰。实验证明:新型高功率微波窄脉冲具有雷达探测能力,能有效提高系统探测功率,提升系统探测距离。

一种基于混沌序列的随机离散频率编码信号

针对正交编码信号已有设计方法计算复杂、编码长度和数量受限等问题,该文利用混沌序列类随机、初值敏感,易产生和易使用的特点,提出应用混沌序列设计随机离散频率编码信号。在给出编码信号设计方案的基础上,详细推导此类信号的模糊函数,分析了其距离、多普勒分辨能力,讨论了信号的准正交特性,并比较了不同混沌序列对信号性能的影响。理论分析和仿真实验表明,结合混沌序列的频率编码信号具有优良的模糊函数、准正交性能,且信号产生容易,编码长度和数量可以任意设置,可以作为一类有潜力的雷达信号使用。

一种混沌相位编码信号形成与处理系统设计

提出一套基于混沌理论的二相、多相编码信号以及混沌二相———线性调频复合调制信号的形成与处理方案,可应用于搜索雷达系统,实现多波形形式、多波形参数和宽带多频率捷变的雷达波形产生及相关压缩处理。重点论述了一类基于Logistic映射的混沌二相编码信号、两种形式的混沌二相———线性调频复合调制信号和混沌泰勒四相编码信号的设计原理与主要处理方法,并应用加权网络对上述脉冲压缩信号进行旁瓣抑制。计算机仿真结果表明,上述三类信号的主要性能均满足系统指标要求,从而使该方案具备很强的低截获及抗干扰能力。

一类混沌二相编码脉冲压缩的性能分析

研究了一类混沌信号的二相编码问题。混沌信号对初值非常敏感,能产生大量的二相混沌码,从中可筛选出压缩性能比较好的二相码。在Matlab上的仿真表明,这种二相码具有较高的主副瓣比且数量较多,显示了较好的应用前景。还对该类二相码序列的长度N的大小取值、不同码长的二相码的最大主副瓣比值进行了探讨。分析了长度N、混沌序列初值以及二相码的位数对脉压性能的影响,并给出了最佳结果,可供工程应用参考。因篇幅所限,没有对该类二相码的多普勒性能及脉冲压缩的实现方法作进一步讨论。

基于FRFT的几种典型相位编码信号检测与参数估计

多相编码(Frank码、P1码、P2码、P3码与P4码)信号是一类典型的低截获概率雷达信号。针对该类信号的检测与参数估计,分析了多相编码信号的时频分布特征,讨论了多相编码信号在分数阶Fourier域的频谱分布特征,并以Frank码信号为例,推导出多相编码信号的主要特征参数的估计表达式。提出了一种基于分数阶Fourier变换(FRFT)的多相编码信号检测与参数估计算法。该算法给出一种利用FRFT估计多相编码信号载频的方法。最后,仿真结果表明该算法在低信噪比(SNR)条件下对多相编码信号仍具有较好的检测和参数估计效果。

多相伪随机序列在雷达通信一体化中的应用

为了减少武器平台电子系统的体积和电磁干扰,一种有效的途径就是实现雷达与通信的一体化。本文首先针对于雷达和通信的作用距离,提出了基于扩频技术的雷达通信一体化系统应采用准连续波体制。其次,针对基于扩频技术的准连续波雷达通信一体化信号设计中所存在的序列周期、序列相关性、多普勒容限和回波遮掩率等问题,提出了一种短周期高主旁瓣比完全互补码共享信号及其相应的序列扩展方法。由理论分析和计算机仿真可知,基于完全互补码的共享信号具有大的多普勒容限和抗回波遮掩性能,能够满足雷达通信一体化系统对波形性能的要求。

恒增益处理损失的最佳编码旁瓣抑制滤波器

雷达距离 /时间旁瓣抑制滤波器的设计通常以旁瓣电平最低为设计目标 ,未考虑增益处理损失的控制 ,在某些情况下会导致输出信噪比损失过大 ,影响弱信号的检测 .本文研究增益处理损失任意给定条件下的旁瓣抑制滤波器的设计 。

多相码雷达信号识别与参数估计

该文研究了多相码雷达信号的识别与参数估计。首先估计接收信号的码元宽度,利用多相码信号的时宽和码元宽度已知的条件下可以确定相位调制规律的特点,构造本地参考信号;把该参考信号与接收信号共轭相乘,当本地参考信号与接收信号的调制方式一致时共轭相乘的结果是正弦波,利用这个性质进行调制方式识别;估计该正弦波的频率作为载频估计;最后分析了存在同步误差时的频谱结构。仿真结果显示本算法可以在低信噪比条件下对多相码信号进行识别,并得到载频和码元宽度的精确估计值。

OFDM新体制雷达研究现状与发展趋势

正交频分复用(OFDM)雷达是近些年才提出的一种新体制雷达,它借鉴了通信系统中正交多载频的原理,相比于传统雷达,具有一些独特的优势。该文系统地介绍了OFDM雷达的特点,全面梳理了国内外关于OFDM新体制雷达研究的文献,总结了信号特性与波形设计、信号处理、新体制雷达系统等几个重点方向的研究进展,并分析了OFDM雷达未来的几个发展趋势和应用前景。

一种相位编码算法在气象雷达中的应用

描述一种被称为SZ相位编码的解距离模糊方法在脉冲多普勒气象雷达中的应用.首先给出了该方法应用到某气象雷达上所采用的系统框图;然后介绍了SZ相位编码的原理和编码序列以及基于这种编码给出了气象雷达解距离模糊算法的详细流程,并着重介绍了频谱重构的频域处理方法;最后给出了用该方法同时解出一次和二次气象回波的Matlab仿真,结果表明该方法对平均速度的估算较为准确.

基于周期Wigner-Hough变换的多相编码连续波雷达信号检测算法

为提高雷达侦察截获接收机对多相编码连续波弱信号截获能力,提出了一种基于周期Wigner-Hough变换(Periodic Wigner-Hough Transform,PWHT)的多相编码连续波信号检测算法。研究了线性调频连续波信号的PWHT及性质;分析了多相编码连续波信号时频主脊线的类似线性调频连续波特征;推导了高斯白噪声在PWHT域的统计分布特征,根据多相编码连续波信号与线性调频连续波的相似性,提出了基于PWHT的多相编码连续波信号检测算法,给出了实现流程,并计算出其检测性能和参数估计性能仿真的仿真结果。仿真结果表明:该算法较已有的其他多相编码信号检测算法有更好的弱信号检测能力,最小可检测信噪比至少可以降低3 dB,并随着观测时间延长而进一步降低;其参数估计精度具有渐进最优的性质。

脉间Costas FH高分辨毫米波雷达信号的DDS实现

介绍了一种高分辨率雷达信号 (脉间CostasFH信号 )和直接数字合成 (DDS)技术 .给出了脉间CostasFH信号与步进频率脉冲雷达信号的统一表达形式 ,以及用“频率挑选矩阵”从DDS所产生的信号集合中产生脉间跳频信号的方法 .使用该种方法 。

脉冲相位编码信号大测绘带合成孔径雷达成像

在传统单天线体制的合成孔径雷达成像中,存在方位向高分辨率与大测绘带相互制约的关系,以前的方法总是寻求两者的折中.针对这一问题,提出了一种利用脉冲信号相位编码解距离模糊的新方法,在保证方位高分辨的同时实现大测绘带成像.该算法通过引入初始调制相位,利用回波方程建立线性方程组,实现了将产生距离模糊的不同子测绘带回波分离,取得了很好的成像效果.相对于多天线方法解模糊,具有系统复杂度低、容易实现等优点。

载波编码多载波相位编码雷达信号抗间歇采样干扰研究

根据间歇采样转发干扰时域不连续采样特点,本文创造性地提出了一种具有抗间歇采样转发干扰特性的基于载波编码(CC)和多载波相位编码(MCPC)雷达信号,即CC-MCPC信号。与目前常用的滤波器设计抗干扰方法不同,CC-MCPC信号是从波形设计的角度出发,采用具有良好伪随机性的混沌序列对时域中的每个符号进行编码,频域中采用巴克码对每个子载波进行编码。载波编码增加了雷达波形脉冲的伪随机性,降低了雷达回波与间歇采样干扰的相关性,从而有效地抑制了假目标的干扰。CC-MCPC与常用滤波器设计方法互不冲突,可叠加使用。本文设计了两个仿真实验,验证了CC-MCPC的有效性和可行性。实验结果表明,在文中所述的典型参数下,CC-MCPC信号与传统的MCPC信号和LFM信号相比,CC-MCPC信号经脉冲压缩后的SJR改善因子优化了1~1.5 dB。