论文部分内容阅读
为识别目标——杂波,现正在研制一种能用极化说明雷达接收信号的数学模型.同时还为目标和杂波研制了—些统计模型,这些模型包括因反射引起的雷达信号极化的全部变化.用这些模型对称之为斯托克斯参数的极化相对参量各函数的门限检测器进行分析,并把它的性能与现有检测器的性能进行了比较.算出两种恒虚警率的检测统计量,其中之一表明性能优于两个正交接收电场之间相对相位正弦的伪相关门限检测器。
To identify target-clutter, a mathematical model that can be used to polarize radar signals is being developed, as well as statistical models for targets and clutter, including radar signal polarization due to reflections , The threshold detector of each function of the polarization relative parameters of Stokes parameter is analyzed by these models, and its performance is compared with the performance of the existing detector. One of the detection statistics for the rate of alert is that of a pseudo-correlation threshold detector that performs better than the sine of the relative phase between two orthogonally received electric fields.