基于子区间的雷达探测距离和测距精度分析

Analysis of radar detection distance and ranging accuracy based on subinterval

探测距离和测距精度是雷达的关键性能指标,在实际服役工况下受雷达系统内部信号传输损耗、外部信号干扰等不确定性因素的影响较大,提高其准确性已成为雷达研究领域的重要课题。为了评估上述不确定性因素对雷达性能的影响程度,开展了雷达探测距离和测距精度的不确定性分析。首先,建立了考虑信号传输损耗和信号干扰的雷达探测距离和测距精度模型;其次,采用区间模型量化不确定性参数,实现内外部参数统一框架下的不确定性度量;然后,构建准确的探测距离和测距精度响应面模型,并采用Sobol'全局敏感性分析方法实现多维参数对探测距离和测距精度影响的排序;最后,采用子区间分解分析方法获取了雷达探测距离和测距精度区间,并与通过蒙特卡洛模拟得到的结果进行对比,验证所提方法的有效性。将雷达探测距离和测距精度设定合理的容限与阈值,可提高雷达性能分析效率,降低性能分析成本。

Detection range and ranging accuracy are the key performance indicators of radar.Under actual service conditions,they are greatly affected by uncertain factors such as internal signal transmission loss and external signal interference of radar system.Improving its accuracy has become an important topic in the field of radar research.In order to evaluate the influence of the above uncertain factors on the radar performance,the uncertainty analysis of radar detection range and ranging accuracy was carried out.Firstly,the radar detection range and ranging accuracy models considering signal transmission loss and signal interference were established;secondly,the interval model was used to quantify the uncertainty parameters to realize the uncertainty measurement under the unified framework of internal and external parameters;then,the accurate response surface models of detection range and ranging accuracy were constructed,and the influence of multi-dimensional parameters on detection range and ranging accuracy was sorted by using Sobol' global sensitivity analysis method;finally,the subinterval decomposition analysis method was used to obtain the radar detection range and ranging accuracy range,and the results were compared with those calculated by Monte Carlo simulation method to verify the effectiveness of the proposed method.Reasonable tolerance and threshold values are set for radar detection range and ranging accuracy,which can improve the efficiency of radar performance analysis and reduce the cost of performance analysis.