复杂环境下多探测传感器协同定位优化布站建模仿真研究

针对复杂环境下多探测传感器网络难以准确协同定位的问题，提出了一种多传感器协同定位优化布站方法。基于后验克拉美罗下界构建了目标定位精度几何稀释因子评价指标，考虑复杂外界环境，分析了起伏地形、杂波干扰和光照对传感器探测定位能力的影响。建立了多传感器协同定位优化布站模型，并采用智能优化算法进行快速求解。仿真实验结果表明：所提方法能够有效提高多探测传感器网络的协同定位能力，对多传感器协同优化布站具有指导意义。

Research on Modeling and Simulation of Optimization Deployment for Cooperative Localization by Multiple Detection Sensors in Complex Environment

Aiming at the difficulty of accurate cooperative localization by multi-sensor network in complex environment, an optimization deployment method is proposed. The GDOP evaluation index of target positioning accuracy is constructed based on PCRLB. The influence of undulating terrain, clutter jamming and illumination on sensor detection and positioning ability in complex environment is analyzed. An optimization deployment model of multi-sensor cooperative location is built and the intelligent optimization algorithm is used to quickly solve the model. Simulation results show that the proposed method can effectively improve the cooperative localization ability of multi-sensor network and can guide the multi-sensor cooperative optimization deployment.