基于未确知有理数的天线增益小样本测试数据处理

针对天线增益测试中,由于客观原因的限制和影响,测试数据处于小样本或贫信息的情况下,将所有的计算参数用确定值表示和计算,会使计算结果与实际情况有较大差别的现状,提出了基于未确知理论的天线增益测试数据处理方法。利用未确知有理数来表达测试数据的不确定性,介绍了测试数据的未确知有理数构造算法。通过实例分析,使用确定性和不确定性两种方法进行了天线增益参数的计算,结果表明:基于未确知有理数的计算方法更好地考虑了参数的不确定性,可避免传统方法对参数描述过于绝对化的弊病,从而使计算结果更合理可靠。

Data processing of small samples for antenna gain based on unascertained rational number

Due to the objective restrictions and impact in the process of antenna gain measurement,the test data are in small samples and poor information. Sometimes the processing result is inconsistent with the practical condition if all parameters are treated as definite numbers in deterministic computation. So the data processing method for the antenna gain measurement based on unascertained theory is put forward. The uncertainty of the parameters is expressed by unascertained rational number and the constitution method for unascertained rational number of test data is introduced. A practical antenna gain is computed and analyzed by certainty and uncertainty method. The comparison result shows that unascertained rational number concern better on the uncertainty of computation parameters and could avoid the absolutization of certainty expression.The computation result is more reliable and reasonable compared with that of traditional method.