The simulation results show the performance of CA-CFAR detector is good under uniform clutter, and is seriously descended under multi-target interference background.
结果表明，CA - CFAR检测器在均匀杂波中性能较好，但在多目标干扰环境中性能严重下降。
We derive the analytic expressions of false alarm probabilities under clutter edge situation, analyse its performances against clutter edge, and compare it with the GO, OS and CA-CFAR detectors.
文中推导出了它在干扰边缘环境中虚警概率的解析表达式，分析了它抗边缘干扰的性能，并且与GO、OS和CA - CFAR检测器进行了比较。
The results indicate that this technique can improve the performance of CA and OS CFAR detection in multi target interference environments without any performance loss in homogeneous environments.
结果表明，该方法在不降低均匀环境下检测性能的条件下，可以明显改善CA和OS- CFAR在多目标干扰环境下的检测性能。
False Alarm Rate (CFAR) detector (FUCAP) based on Fuzzy logic, Unbiased Minimum-Variance Estimation (UMVE) and Cell Averaging (CA) is presented in this paper.
基于模糊逻辑，无偏最小方差估计(UMVE)和单元平均(CA)提出一种新的恒虚警检测器(FUCAP)。
A new adaptive constant false alarm rate (CFAR) detector, referred as stepwise cumulation CA (SCCA) CFAR detector, is presented for target detection in a multi-target environment for SAR imagery.
针对多目标环境下的SAR图像目标检测，提出一种新的自适应cfar(恒虚警)检测器。
A new adaptive constant false alarm rate (CFAR) detector, referred as stepwise cumulation CA (SCCA) CFAR detector, is presented for target detection in a multi-target environment for SAR imagery.
针对多目标环境下的SAR图像目标检测，提出一种新的自适应cfar(恒虚警)检测器。
应用推荐