基于改进灰色关联算法的雷达反隐身能力评估

Evaluation of anti-stealth ability of radar on improved grey correlation algorithm

针对复杂电磁环境下雷达获取隐身目标特性存在不完整性、多样性等特点,提出一种基于改进灰色关联算法和距离优化评估模型的雷达反隐身能力评估方法.该方法针对一般的主观权重可靠性不足的缺点,依据指标的主观、客观和关联属性实时计算并修正了指标权值.建立了基于性能与作战效能的雷达反隐身能力评估指标体系,并结合样本序列的稳定程度和指标值的优劣程度给出了雷达反隐身能力的优化评估距离,得出客观、准确的评估结果.理论分析和仿真试验表明,与一般的灰色关联算法相比,复合权重的灰色关联算法具有更好的系统评估能力和更高的准确性.

Aiming at the characteristics of imperfection and various of stealth target acquired by radar in complex electromagnetic circumstance, a new method based on improved grey correlation and distance optimization evaluation model was presented. Firstly, the shortcoming of common subjective grey correlation algorithm was overcome by the method. According to the subjective and objective, associated attributes of indicators, the weight of grey correlation algorithm was calculated in real time. Secondly, a set of indexes to evaluate the ability of radar based on performance and operational effectiveness was established. The antistealth radar evaluation distance and results were given combined with the stability and effectiveness of the sample. The analysis of theory and results of simulation proved that, in contrast to the common subjective grey correlation algorithm, the composite weights grey correlation algorithm had higher ability of assessment and stronger computation reliability.