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火控雷达测量误差自相关时间分析
引用本文:邹士迁,刘鑫,陈卫华.火控雷达测量误差自相关时间分析[J].国外电子测量技术,2015,34(9):29-33.
作者姓名:邹士迁  刘鑫  陈卫华
作者单位:中国人民解放军92941部队94分队
摘    要:舰炮火控雷达跟踪精度试验时需要确定跟踪数据的采样时间间隔,采样时间间隔主要取决于雷达跟踪误差特性的自相关时间。数据采样时间间隔直接影响试验航次数的确定和试验效率。从基础自相关估计理论出发,给出通过协方差函数直接计算和利用FFT变换计算雷达误差自相关时间方法,实测数据结果验证了火控雷达误差数据序列的平稳性;分析得到了火控雷达对典型目标的跟踪误差弱相关时间并给出雷达精度试验对空中目标数据采样时间间隔先按距离和方位角弱相关系数K值确定,即1~2 s,数据处理时再对高低角误差数据进行取2~3倍间隔的建议。通过自相关时间分析发现雷达伺服系统对消舰艇摇摆存在剩余的技术问题,有助于雷达技术改进和跟踪误差源分析。

关 键 词:火控雷达  测量误差  采样时间间隔  自相关时间

Research on autocorrelation time analysis of measure error for fire control radar
Zou Shiqian,Liu Xin,Chen Weihua.Research on autocorrelation time analysis of measure error for fire control radar[J].Foreign Electronic Measurement Technology,2015,34(9):29-33.
Authors:Zou Shiqian  Liu Xin  Chen Weihua
Affiliation:92941 Unit of PLA
Abstract:Determing sampling time interval of tracking data is the basic work of naval gun fire control radar in tracking precision experiment, which chiefly depends on autocorrelation time of radar tracking error character. Sampling time interval has direct influence on test voyages and test efficiency. Based on the basic theory of autocorrelation estimate, methods of calculating autocorrelation time of radar, including covariance function and FFT transform are presented, combined with engineering application, some experimental results are also analyzed, which verify that error data sequence of fire control radar is stationary. The weak correlation time of radar tracking error for typical targets was analyzed, sampling time interval of aerial target according to weak correlation coefficient of range and azimuth angle K was made with 1 to 2 seconds, and 2 to 3 times interval of elevation angle suggestion during data processing was made as well. The autocorrelation analysis results show that radar servo system has cancellation residue towards warship rolling; which has certain guidance in improving radar techniques and analyzing tracking error sources in the future.
Keywords:fire control radar  measurement error  sampling time interval  autocorrelation time
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