基于无线电测向的台站定位

无线电定位技术有看广泛的应用前景，基于无线电测向的台站定位，推导出了平面和球面双站定位算法，给出了多站定位算法，并对以上算法进行了实例计算，验证了算法的正确性。平面和球面台站定位算法对于台站定位有很好的实用性，尤其是球面定位算法对于提高定位精度有很大的作用。     

通道间幅度相位不一致对干涉仪测向的影响和解决方法

该文着重分析了通道不一致对干涉仪测向带来的影响,给出了分析结果。利用自动增益控制原理,建立了消除通道不一致对干涉仪测向影响的模型。仿真结果表明,该模型是有效的。该模型也同样适用于其他测向系统。     

THE FOURTH-ORDER CUMULANTS BASED SPECTRALESTIMATION METHOD AND ITS APPLICATIONTO DIRECTION-FINDING

Traditional approaches of spatial spectral estimation are usually based on the second-order statistics. The higher-order cumulants and the poly-spectrum contain more information and are capable of reducing the Gaussian noise. In this paper, we present a new spectrum estimation method for direction-finding, the FOMUSIC algorithm, which is based on the eigen-structure analysis of the fourth-order cumulants. The derivation of the algorithm is given in detail and its performance is illustrated by both the computer simulations and the experiments of a direction-finding system. The obtained results demonstrate that the fourth-order cumulants based method outperforms the traditional methods, especially when the noise is an unknown colored one.     

基于四阶累积量特征分解的空间谱估计测向方法

传统的空间谱估计测向方法大都是在二阶统计基础上提出的。而高阶累积量(cumulant)及其对应的高阶谱具有更加丰富的信息,而且对任何谱特性的高斯噪声都有很好的抑制能力。本文研究了基于四阶累积量特征结构分析的谱估计测向方法。从累积量的基本定义和性质出发,导出了基于特征分解的测向算法,并给出了模拟实验和测向系统外场实验结果。实验结果显示,基于四阶累积量方法的性能优于传统谱估计测向方法,特别是对于未知谱特性的色高斯噪声的情况。     

复杂电磁环境下频谱监测新技术

在日益复杂的空间电磁环境下,如何解决在频谱监测任务中遇到的新问题？本文重点介绍在复杂电磁环境下无线电监测任务中遇到的新挑战以及相应的解决方案,例如,可以实现同频信号分离的空间谱估计测向技术、时差定位技术以及利用室外小型监测站构建分布式监测网等。     

基于四阶累积过的阵列扩展

在阵列测向问题中应用高阶累积量除了信息利用更充分和抑制高斯噪声等优点之外还具有阵列扩展的功能.本文推导了基于四阶累积量的阵列扩展方法,研究了虚拟阵的结构.放宽了协方差方法对信源数目的限制.但该方法在窄带多信号方向估计应用中存在局限.本文还推导了四阶相干问题和阵列扩展的限制条件.最后给出了实验举例.     

A descent method with linear programming subproblems for nondifferentiable convex optimization

Most of the descent methods developed so far suffer from the computational burden due to a sequence of constrained quadratic subproblems which are needed to obtain a descent direction. In this paper we present a class of proximal-type descent methods with a new direction-finding subproblem. Especially, two of them have a linear programming subproblem instead of a quadratic subproblem. Computational experience of these two methods has been performed on two well-known test problems. The results show that these methods are another very promising approach for nondifferentiable convex optimization.     

空间谱估计测向中通道失配与阵元间互耦的一次性补偿

在空间谱估计测向系统中,各接收通道中的幅相失配和天线阵元间的互耦是导致测向精度和分辨率下降的主要原因。本文分析了这两种因素影响测向系统性能的机制,提出了一种可一次性补偿接收通道的幅相失配和阵元间互耦的有效方案。