基于功率倒置算法的GPS抗干扰实时系统实现

实现了基于功率倒置算法的GPS抗干扰实时系统,并且提出了一种低复杂度的实现算法。运用Xilinx公司的Virtex-4以及TI公司的TMS320C6416T硬件平台．采用双FPGA＋单DSP结构来实现整个算法。实验结果表明,GPS信号经过实时抗干扰系统处理后,可以运用普通的接收机进行实时、精确的定位。该系统具有兼容性好、精度高等优点。     

GPS信号FFT自适应抗干扰技术的FPGA工程实现

针对自适应抗干扰技术展开研究,提出了易于FPGA实现的FFT自适应窄带抗干扰技术.这种方法减小了数字信号处理部分的计算量,提高了系统处理的实时性,降低了系统的复杂程度.实验表明在有宽带干扰存在的情况下,使用所提出的方法可以自适应检测并剔除窄带干扰.与GPS接收机的对接测试表明,该技术能大大提高接收机的抗干扰能力.     

带波束指向的GPS抗干扰技术研究

针对GPS卫星接收系统在存在强宽带压制式干扰无法正常工作的情况,研究了基于阵列天线的自适应抗干扰技术.提供了采用约束的最小方差准则实现抗干扰算法,算法充分利用了信号和干扰空间角度的不同进行滤波,对有用信号进行保护,使得波束在指向卫星信号的同时最大程度抑制干扰信号.给出了算法的硬件实现方案,最后通过仿真试验对算法的抗干扰能力进行了分析,验证了算法的有效性.     

GPS软件接收机的捕获与跟踪算法

研究了GPS软件接收机的捕获与跟踪算法。分析了时域串行滑动相关捕获算法和频域基于FFT的并行相关捕获算法,设计了适合GPS软件接收机的并行算法,实现了对空中可见卫星的捕获。针对GPS信号的特点,设计了基于DLL与PLL相结合方法的GPS跟踪算法。利用实测中频信号对上述捕获与跟踪算法进行了验证分析,测试结果表明,基于FFT的并行相关捕获算法能够有效增强软件接收机的捕获能力,采用DLL与PLL相结合的方法能够实现对GPS信号的有效跟踪。     

单通道恒模抗干扰民航VHF接收机设计与实现

为了消除恒模干扰对民航VHF话音通信系统的影响,以FPGA和DSP为平台设计实现了基于单通道恒模算法的抗干扰接收机。接收机中的干扰抑制系统使用DSP对受干扰的AM信号进行载频估计,使用FPGA实现陷波、正交变换、基于非线性最小二乘法的恒模干扰实时估计和干扰抑制等过程。系统测试表明:抗干扰接收机能够有效地抑制恒模干扰,且具有处理速度快、稳定性好的特点。     

基于嵌入式平台的MEMS/GPS 组合导航系统实现研究

主要研究基于PC104平台的MEMS/GPS组合导航系统硬件实现方法.首先设计了对MTi-30 MEMS器件与GPS接收机的数据采集软件,基于统计分析方法分析建立了传感器的误差模型参数,构建了MEMS/GPS组合算法模型,基于MEMS惯性器件和GPS接收机实测数据确定了Kalman滤波器的系统噪声阵及量测噪声阵模型参数;然后利用实际测量数据进行了MEMS/GPS组合系统导航性能仿真;最后基于PC 104嵌入式平台,构建了MEMS/GPS组合导航系统原理样机,分别在静态和动态情况下完成MEMS/GPS组合导航算法实时测试,导航结果验证了硬件平台及导航算法的正确性.     

一种改进的GPS动态定位滤波方法

针对GPS接收机能够测量卫星信号的多普勒频率的特性,亦即能够测量三维速度的特性,引入了一种改进的GPS定位系统滤波算法。首先,根据机动载体的"当前"统计模型建立了系统状态方程;然后,根据GPS接收机实际能够输出位置与速度信息的特点建立了系统的量测方程;最后,给出了标准的卡尔曼滤波算法模型并详细描述了算法的推导过程。仿真结果表明,改进算法相对于以前的算法无论是在精度和跟踪速度方面都有较大的提高。     

Discussion for Deeply-coupled GPS/INS Technology

面对未来信息化、电子化战争复杂的电磁环境和高速、超高速精确制导武器发展需求,传统GPS/INS组合导航技术很难满足武器性能指标的要求.而GPS/INS深组合导航系统能在高动态和复杂电磁环境下为精确制导武器提供稳定、可靠、精确的导航信息,实现精确制导武器在复杂战场环境下对目标的精确打击.因此GPS/INS深组合技术成为近来人们的研究热点.深组合技术除了传统意义上利用GPS接收机信息修正INS之外,同时,采用INS导航数据还能对GPS接收机载波跟踪环路进行外部辅助,剔除信号中的动态信息,减小GPS接收机载波跟踪环对信号的跟踪范围,压缩环路带宽,提高接收机在高动态环境下工作稳定性和接收机抗干扰性能,以保证组合导航系统的可用性和可靠性.     

导航接收机抗干扰算法综述

近年来,导航接收机抗干扰技术发展迅速,成为导航领域的研究重点。介绍了抗干扰技术的发展历程,分析总结了目前主要的抗干扰方法及算法特点,并讨论了未来关键需求和发展方向,对接收机抗干扰技术的研究和工程应用有一定意义。     

基于FPGA的高动态GPS信号实时捕获设计

提出了一种高动态环境下GPS接收机实时捕获的FPGA硬件实现方案。此方案针对高动态环境下GPS接收机对信号捕获速度的要求和当前硬件平台,在平均采样预处理后,选取5组数据中的2组进行捕获,以捕获精度的较小降低为代价实现单颗GPS卫星信号的实时捕获。通过对高动态环境下模拟信号捕获过程的仿真和硬件实现,验证了此种捕获方法的正确性和可行性。     

针对弹载卫星导航接收机干扰方向测定的算法研究

在弹载应用中,卫星导航接收机动态范围大,干扰方向相对接收机变化迅速,高动态导致自适应抗干扰算法产生的零陷深度变浅、范围变大,同时破坏了零陷附近接收的卫星信号,严重影响了 自适应空时滤波的抗干扰性能.研究弹载卫星导航接收机干扰方向的测定方法,通过干扰测向将天线零陷对准干扰方向,在指定方向形成波束,从而提高了接收机的抗干扰能力.针对弹载高动态对卫星导航接收机干扰方向测定实时性和准确度的要求,提出了 MUSIC-ESPRIT联合算法,将传统的ESPRIT算法的测定结果作为MUSIC算法的初始值,进而缩小谱峰的搜索范围.仿真结果表明,提出的MUSIC-ESPRIT联合算法与传统的MUSIC算法相比,在保证干扰测向精度的同时降低了计算量,满足弹载卫星导航接收机对干扰方向的测定要求.     

一种盲多波束形成GNSS天线阵抗干扰算法

天线阵抗干扰是现代卫星导航接收机抗干扰的重要手段。传统的天线阵波束形成类算法能够在抑制干扰的同时提升抗干扰后输出信噪比,但是在信号捕获阶段,由于缺少先验信息的支持,该类算法无法在信号方向形成增益。因此,提出了一种盲多波束形成的天线阵抗干扰算法,通过形成多个波束覆盖天线阵上半球面,可在无先验信息的条件下对卫星信号形成增益,从而提升信号捕获阶段信噪比,使得接收机在干扰环境中具备更强的信号捕获能力。仿真结果表明:与传统的天线阵抗干扰算法相比,提出的算法能够在有效抑制干扰的同时显著提升接收机信号捕获成功率。     

Multipath-adaptive GPS/INS receiver

Multipath interference is one of the contributing sources of errors in precise global positioning system (GPS) position determination. This paper identifies key parameters of a multipath signal, focusing on estimating them accurately in order to mitigate multipath effects. Multiple model adaptive estimation (MMAE) techniques are applied to an inertial navigation system (INS)-coupled GPS receiver, based on a federated (distributed) Kalman filter design, to estimate the desired multipath parameters. The system configuration is one in which a GPS receiver and an INS are integrated together at the level of the in-phase and quadrature phase (I and Q) signals, rather than at the level of pseudo-range signals or navigation solutions. The system model of the MMAE is presented and the elemental Kalman filter design is examined. Different parameter search spaces are examined for accurate multipath parameter identification. The resulting GPS/INS receiver designs are validated through computer simulation of a user receiving signals from GPS satellites with multipath signal interference present The designed adaptive receiver provides pseudo-range estimates that are corrected for the effects of multipath interference, resulting in an integrated system that performs well with or without multipath interference present.     

Integration of GPS and low cost INS for pedestrian navigation aided by building layout

In outdoor environments, GPS is often used for pedestrian navigation by utilizing its signals for position computation, but in indoor or semi-obstructed environments, GPS signals are often unavailable. Therefore, pedestrian navigation for these environments should be realized by the integration of GPS and inertial navigation system （INS）. However, the lowcost INS could induce errors that may result in a large position drift. The problem can be minimized by mounting the sensors on the pedestrian＇s foot, using zero velocity update （ZUPT） method with the standard navigation algorithm to restrict the error growth. However, heading drift still remains despite using ZUPT measurements since the heading error is unobservable. Also, tbot mounted INS suffers from the initialization ambiguity of position and heading from GPS. In this paper, a novel algorithm is developed to mitigate the heading drift problem when using ZUPT. The method uses building lay- out to aid the heading measurement in Kalman filter, and it could also be combined for the initial- ization. The algorithm has been investigated with real field trials using the low cost Microstrain 3DM-GX3-25 inertial sensor, a Leica GS10 GPS receiver and a uBlox EVK-6T GPS receiver. It could be concluded that the proposed method offers a significant improvement in position accuracy for the long period, allowing pedestrian navigation for nearly40 min with mean position error less than 2.8 m. This method also has a considerable effect on the accuracy of the initialization.     

一种新的无人机数据链抗干扰技术研究(英文)

Based on the M-ary spread spectrum （M-ary-SS）, direct sequence spread spectrum （DS-SS）, and orthogonal frequency division multiplex （OFDM）, a novel anti-jamming scheme, named orthogonal code time division multi-subchannels spread spectrum modulation （OC-TDMSCSSM）, is proposed to enhance the anti-jamming ability of the unmanned aerial vehicle （UAV） data link. The anti-jamming system with its mathematical model is presented first, and then the signal formats of transmitter and receiver are derived. The receiver＇s bit error rate （BER） is demonstrated and anti-jamming performance analysis is carded out in an additive white Ganssian noise （AWGN） channel. Theoretical research and simulation results show the anti-jamming performance of the proposed scheme better than that of the hybrid direct sequence frequency hopping spread spectrum （DS/FH SS） system. The jamming margin of the OC-TDMSCSSM system is 5 dB higher than that of DS/FH SS system under the condition of Rician channel and full-band jamming, and 6 dB higher under the condition of Rician channel environment and partial-band jamming.     

INS辅助GPS接收机及抗干扰能力的分析

针对高动态或低信噪比条件下GPS卫星信号容易失锁的特点,根据GPS接收机码／载波跟踪环特性,研究分析了惯性导航（INS）辅助GPS接收机原理及其抗干扰能力。在复杂电磁环境下,INS辅助GPS接收机（特别是紧耦合GPS/INS组合模式）是组合导航的发展方向。     

Blind GPS receiver with a modified despreader for interference suppression

The global positioning system (GPS) was designed to provide location estimates for various civilian and military applications using at least four satellites. Since GPS signals have a low signal-to-noise ratio (SNR), they also have a low signal-to-jammer ratio so that the accuracy of location estimates is influenced by cochannel interference and intentional jammers. We propose a low-complexity blind adaptive receiver that is based on a novel modified despreader and the constant modulus (CM) array. This system is capable of ing directional interference and capturing the GPS signal of interest without requiring explicit angle-of-arrival (AOA) information. We also consider the multiple satellite problem and extend the proposed receiver to capture several GPS signals of interest. Representative computer simulation examples are presented to illustrate the performance of the multicomponent system for the suppression of different jammer types.     

卫星导航接收机自主完好性监测算法研究

针对航空导航定位高可靠性的要求和GPS接收机观测噪声分布的特点,研究将粒子滤波算法应用于接收机自主完好性监测（RUM）中.通过粒子滤波算法对状态进行精确估计,利用对数似然比建立一致性检验统计量进行故障检测与隔离.对算法进行了数学建模,描述了完整的RAIM算法详细流程.通过实测数据对提出的RAIM算法进行验证,结果表明：粒子滤波算法在非高斯测量噪声情况下可以对GPS接收机状态进行精确的估计,利用对数似然比建立的一致性检验统计量能有效地检测并隔离故障卫星,验证了该算法应用于GPS接收机自主完好性监测的可行性和有效性.