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介绍了几种基于差分极化感知的目标变换与/或运动检测方法,综合分析了时间和频率极化感知策略。对接收信号的极化状态使用差分时间平均后构成了基于时域的检测统计量。这种方法极易受到极化敏感性信道失配的影响,特别是极化模色散(PMD)现象。随着PMD作用日益突出,时域信号极化的变化越来越大,一定检测间隔内的极化平均值有可能会与信号瞬时极化状态完全不同,从而降低了检测统计量的整体灵敏度。另一方面,频域方法能够调整接收信号中相对稳定的频率极化特征,该方法经设计后在子带中使用差分检测可以有效利用PMD作用。将整个子带部分的检测量整合将得到一个最终的检测统计量。通过室内测试,与基于时间和其它常规基于功率的方法(包括基于功率的子带化架构)相比,最终得出的这种子带架构可以改进检测灵敏度。
Several methods of target transform and / or motion detection based on differential polarization sensing are introduced, and time and frequency polarization sensing strategies are comprehensively analyzed. The use of differential time averaging of the polarization of the received signal constitutes the time-based detection statistics. This method is highly susceptible to polarization-sensitive channel mismatches, especially the phenomenon of polarization mode dispersion (PMD). With the increasingly prominent role of PMD, the polarization changes in the time domain is more and more large. The average polarization within a certain detection interval may be completely different from the instantaneous polarization state of the signal, thereby reducing the overall sensitivity of the detection statistics. On the other hand, the frequency domain method can adjust the relatively stable frequency polarization characteristic in the received signal. This method is designed to effectively utilize the PMD effect by using differential detection in the sub-band. The integration of the detection of the entire sub-band portion will yield a final test statistic. With indoor testing, this resulting sub-band architecture can improve detection sensitivity compared to time-based and other conventional power-based approaches, including power-based sub-banding architectures.