基于相控阵雷达组网的多传感器管理算法

信息化条件下的防空作战,建立一体的探测预警网络是夺取信息优势的技术保证,而实现传感器资源科学合理的分配则是提高防空探测预警网络信息获取效率的重要手段。为了充分发挥防空探测预警网络的功能及性能,必须在环境条件容许的情况下,对相控阵雷达组网有限的传感器资源进行科学合理的分配,提高探测预警网络的整体效能,进而提高防空作战效能。针对相控阵雷达组网的多传感器资源管理优化问题,介绍了相控阵雷达的特性和组网的意义,提出了基于相控阵雷达组网的相对熵多传感器管理算法。该算法通过计算传感器对目标的相对熵不确定性,获得每个传感器对每个目标最大的信息量,以此作为代价函数,进行多传感器对多目标的优化分配,仿真结果表明该算法的有效性。

An Algorithm Based on Phased-array Radar Network of Multi-sensors Management

In the air defense warfare under information-based condition, establishing detect & surveillance network is the technical guarantee of capturing informational preponderance.Meanwhile,realizing scientific and reasonable allocation of sensors resource is the important method of promoting the efficiency in gaining the air defense detect & surveillance network information. In order to make full use of the function and the performance of air defense detect & surveillance network, we have to allocate the limited sensors resource scientifically and reasonably in the phased-array radar network so as to improve the whole effectiveness of detect & surveillance network and furthermore to improve air defense warfare effectiveness. In view of the phased-array radar network multi-sensors resource management optimization problem, the phased-array radar characteristic and the network significance are introduced, and a relative entropy multi-sensors management algorithm based on phased-array radar network is proposed. By using this algorithm, each sensor to each goal greatest information content is obtained by calculating the sensor-to-goal indetermination of relative entropy, then taking this as the price function, the multi-sensors to the multi-goals optimized assignment is performed, and the simulation result indicates that this algorithm is valid and effective.