Target length estimation method based on high-resolution range profile and application thereof
A high-resolution distance image and target length technology, applied in the direction of using re-radiation, radio wave reflection/re-radiation, measuring devices, etc., can solve the problems of insufficient accuracy and inability to be widely used, and achieve high consistency and error small effect
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Embodiment 1
[0224] The simulation experiment is carried out to the above-mentioned length estimation method of the present invention, and the simulation experiment uses as attached Figure 13 The radial projection of the ship shown is 100 HRRP samples with a length of 126m, and they are randomly shuffled after translation alignment and normalization preprocessing.
[0225] Through the implementation process of the present invention and outside the same steps S1 and S3, other schemes containing different steps S2 are used as a comparison, wherein:
comparative approach 1
[0227] Step S2 adopts the radial projection length extraction process based on threshold segmentation, which includes:
[0228] A1:
[0229] Suppose the original HRRP of the ship target is x(i), i=0, 1, ..., N-1, where N represents the length of the original range image sequence, and the expectation is obtained for the HRRP sequence:
[0230]
[0231] As shown in formula (20), it can be seen that the number of all strong scattering points in the original HRRP is:
[0232]
[0233] Among them, U is the unit step function, and Q is the threshold coefficient. Since the generation conditions of each HRRP are independent, the signal-to-noise ratio (SNR) is different, so it is necessary to select an appropriate threshold coefficient Q according to different SNRs.
[0234] In this embodiment, similar to the usual situation, the threshold coefficient cannot be determined simply, so an appropriate threshold coefficient Q is selected through repeated trials.
[0235] Wherein, t...
comparative approach 2
[0243] Step S2 adopts the radial projection length extraction process based on the sliding window search method, which includes:
[0244] B1:
[0245] It is assumed that the range image of the ship target includes the sequence x(n), n=0,1,...,N-1, in order to eliminate the influence of noise, the noise floor of the HRRP sample is firstly counted, and the following process is adopted:
[0246] First, select m distance cells x that do not contain targets in the original HRRP L (n) and x R (n), where x L (n) ranges from n=0,1,...,m-1,x R (n) ranges from n=N-m-1, N-m-2,..., N-1;
[0247] Afterwards, the above two paragraphs of data x are counted L (n) and x R (n) noise fluctuations, including for x L (n) and x R (n) take the average, as follows:
[0248]
[0249]
[0250] take again The average value or the maximum value of both is used as the noise fluctuation, that is, the noise floor of the original HRRP, as follows:
[0251] or
[0252] After obtaining t...
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