Multi-strategy Weibull CFAR detection method based on change index
A detection method and multi-strategy technology, applied in the direction of radio wave measurement systems, instruments, etc., can solve the problems of detection performance degradation and achieve the effect of small CFAR loss
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specific Embodiment approach 1
[0027] Specific implementation mode one: refer to figure 1 Specifically illustrate this embodiment, the multi-strategy Weibull CFAR detection method based on the variation index described in this embodiment, comprises the following steps:
[0028] Step 1: Obtain the radar echo data passing through the envelope detector, and then obtain the Weibull distribution shape parameters in the radar echo data, and the Weibull distribution shape parameters include the Weibull distribution shape parameters of the front reference window and the trailing edge reference window The Weibull distribution shape parameter of ;
[0029] Step 2: Determine whether the Weibull distribution shape parameters of the front reference window in the radar echo data are the same, if they are the same, calculate the second-order statistics VI and the statistical sum, and use the Monte Carlo simulation experiment to obtain the threshold K VI , then compare VI with K VI Compare, when VI is greater than or equ...
specific Embodiment approach 2
[0033] Embodiment 2: This embodiment is a further description of Embodiment 1. The difference between this embodiment and Embodiment 1 is that the specific steps of using the CFAR detector to complete target detection are:
[0034] Calculate the false alarm probability P by using the CFAR detector and the corresponding reference unit fa The lower detection threshold, and then compare the unit to be detected with the detection threshold, when the unit to be detected is greater than or equal to the detection threshold, it is determined that there is a target in the unit to be detected, otherwise, it is determined that there is no target.
specific Embodiment approach 3
[0035] Embodiment 3: This embodiment is a further description of Embodiment 2. The difference between this embodiment and Embodiment 2 is that in Step 3, the results of the consistency of the shape parameters and the uniformity of the radar echo data are compared. The results, the results of whether the front and rear edge reference windows have the same mean value, and the results of whether the shape parameters of the front and rear edge reference windows are consistent select the CFAR detector and the corresponding reference unit as follows:
[0036]
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