Object detection apparatus and road mirror
US-2016154099-A1 · Jun 2, 2016 · US
US10845475B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10845475-B2 |
| Application number | US-201816049413-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 30, 2018 |
| Priority date | Jul 30, 2018 |
| Publication date | Nov 24, 2020 |
| Grant date | Nov 24, 2020 |
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A method of measuring an azimuth of a target by a scanning radar includes (a) establishing a radar scanning model, including (a1) selecting an antenna pattern, (a2) setting a set of radar parameters, (a3) creating reflected signals simulation curve, (a4) sampling the reflected signals simulation curve to create a plurality of sets of simulation data, each set is consisted of successive samples, and (a5) normalizing each sample of each set of simulation data to create a plurality sets of records of normalized simulation data; (b) obtaining normalized scanning data; (c) comparing records of normalized simulation data with the normalized scanning data; and (d) obtaining an azimuth of the target.
Opening claim text (preview).
What is claimed is: 1. A method of measuring an azimuth of a target by a scanning radar, comprising the steps of: (a) establishing a radar scanning model, comprising the sub-steps of (a 1 ) selecting an antenna pattern, (a 2 ) setting a set of radar parameters, (a 3 ) creating a reflected signals simulation curve, (a 4 ) sampling reflected signals to create a plurality of simulation data, wherein each set of simulation data consists of successive samples, and (a 5 ) normalizing each of the successive samples of each set of simulation data to create a plurality sets of records of normalized simulation data; (b) obtaining normalized scanning data; (c) comparing records of normalized simulation data with the normalized scanning data; and (d) obtaining an azimuth of the target, wherein a number of the records of the normalized simulation data is M which is a selected integer; wherein each of the records of the normalized simulation data or each of records of the normalized scanning data comprise a plurality of records of data, and the number of the records of data is less than or equal to N which is a power of 2; wherein the M is an optimum value calculated according to a formula: ⌈ 2 θ T ω ⌉ - N , where θ is a half power beam width, w is a rotational speed of antenna, and T is a pulse repetition interval; wherein step (b) comprises the sub-steps of: (b 1 ) emitting a set of scanning signal consisted of a plurality of coherent pulses by the scanning radar; (b 2 ) obtaining a plurality of reflected signals from a target; (b 3 ) detecting the target from the reflected signals by a pulse Doppler process, and obtaining a Doppler space information of the target; (b 4 ) using inverse Fourier transform to recover scanning samples from the Doppler space information of the target; and (b 5 ) normalizing the scanning samples to obtain normalized scanning data, wherein the step (c) comprises performing a dot product on each of the normalized simulation data with the normalized scanning data and finding the simulation data which has the maximum value of the dot products, and wherein the step (c) comprises performing a vector subtraction on each of the normalized simulation data with the normalized scanning data, and finding the simulation data which has the minimum norm after the vector subtractions. 2. The method as claimed in claim 1 , wherein the reflected signals are caused by a set of coherent pulses reflected from the target, and the set of coherent pulses is emitted by the scanning radar in a coherent processing interval during the scanning. 3. The method as claimed in claim 1 , wherein the radar parameters comprising a rotational speed of antenna, a pulse repetition interval and a weighting function. 4. The method as claimed in claim 3 , wherein between sub-steps (a 4 ) and (a 5 ), step (a) further comprises the sub-step of multiplying each simulation data by the weighting function.
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