基于距离差法目标定位的多站雷达优化布局

多站雷达的布局直接影响距离差法目标定位的精度。首先给出多站雷达系统距离差定位的误差协方差矩阵的表达式和计算方法,然后以误差椭球体积最小为布站优化的目标,讨论了多站平面布局对空间目标定位时的优化布站方法,并在平面优化布局的基础上,推出无约束情况下的最优布局。仿真结果与理论分析一致,该结论可以推广到无源定位系统。     

Sensor placement in active multistatic sonar networks

The idea of deploying noncollocated sources and receivers in multistatic sonar networks (MSNs) has emerged as a promising area of opportunity in sonar systems. This article is one of the first to address point coverage problems in MSNs, where a number of points of interest have to be monitored in order to protect them from hostile underwater assets. We consider discrete “definite range” sensors as well as various diffuse sensor models. We make several new contributions. By showing that the convex hull spanned by the targets is guaranteed to contain optimal sensor positions, we are able to limit the solution space. Under a definite range sensor model, we are able to exclude even more suboptimal solutions. We then formulate a nonlinear program and an integer nonlinear program to express the sensor placement problem. To address the nonconvex single‐source placement problem, we develop the Divide Best Sector (DiBS) algorithm, which quickly provides an optimal source position assuming fixed receivers. Starting with a basic implementation of DiBS, we show how incorporating advanced sector splitting methods and termination conditions further improve the algorithm. We also discuss two ways to use DiBS to find multiple source positions by placing sensors iteratively or simultaneously. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 287–304, 2017     

基于GA-ML-PMHT的多基站无源协同定位方法

针对无源协同定位系统中低可观测目标的航迹初始及维持问题,提出一种基于遗传算法的极大似然概率多假设的多基站无源协同定位方法。首先,建立多基站无源协同定位系统数学模型。其次,提出基于极大似然概率多假设的无源协同定位航迹初始算法,并首次利用遗传算法解决极大似然概率多假设中的优化求解问题,以提高目标检测跟踪性能。最后,通过滑窗法实现航迹维持。仿真结果表明,所提方法能够有效解决多基站无源协同定位系统中低可观测目标的航迹初始及维持问题。     

Optimal source placement for point coverage in active multistatic sonar networks

The allocation of underwater sensors for tracking, localization, and surveillance purposes is a fundamental problem in anti-submarine warfare. Inexpensive passive receivers have been heavily utilized in recent years; however, modern submarines are increasingly quiet and difficult to detect with receivers alone. Recently, the idea of deploying noncollocated sources and receivers has emerged as a promising alternative to purely passive sensor fields and to traditional sonar fields composed of collocated sources and receivers. Such a multistatic sonar network carries a number of advantages, but it also brings increased system complexity resulting from its unusual coverage patterns. In this work, we study the problem of optimally positioning active multistatic sonar sources for a point coverage application where all receivers and points of interest are fixed and stationary. Using a definite range sensor model, we formulate exact methods and approximation algorithms for this problem and compare these algorithms via computational experiments. We also examine the performance of these algorithms on a discrete approximation of a continuous area coverage problem and find that they offer a significant improvement over two types of random sensor deployment.     

多基地雷达在分布式压制干扰下探测区域

双基地雷达因为其收发分置有较好的抗干扰能力,从双基地雷达出发,由其雷达方程和干扰方程推导出多基地雷达探测区域的数学模型和受到分布式压制干扰探测区域的数学模型.在建立天线模型后,进行多基地雷达在有分布式干扰下和无干扰下的联合探测区域的研究与仿真,仿真结果该方法具有一定的指导和参考意义.     

利用多基地雷达实现目标的无源定位

对利用多基地雷达实现目标的无源定位功能所涉及到的系统关键技术进行了研究。如针对多基地雷达不同的系统结构提出了相应的无源定位方法和时间同步方案,并对接收机的一体化设计和脉冲分选方法做了简要论述。