Radar having antennas arranged at horizontal and vertical intervals
US-12148984-B2 · Nov 19, 2024 · US
US9389305B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9389305-B2 |
| Application number | US-201313778704-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 27, 2013 |
| Priority date | Feb 27, 2013 |
| Publication date | Jul 12, 2016 |
| Grant date | Jul 12, 2016 |
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Signals received by an array of sensing elements are processed by first positioning the sensing elements in a uniform grid of L locations, wherein each location to include or not to include a sensing element is selected during a design phase. The sensing elements are selected and grouped into subsets, wherein each subset contains one or more sensing elements, and each sensing element is a member of one or more subsets. The signals in each subset are linearly combined to produce a combined signal, which is then sampled to form an output channel, which can detect objects.
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I claim: 1. A method for processing signals comprising: positioning sensing elements of a sensor array in a uniform grid of L locations, wherein each sensing element is an antenna, wherein the sensing elements are grouped into M subsets wherein each subset contains one or more sensing elements, and each sensing element is a member of one or more subsets, and wherein the uniform grid has a spacing less than or equal to half a wavelength of the signals received by the sensor array; receiving the signals using the sensing elements of the sensor array; combining, in a combiner, the signals received by the sensing elements in each subset to produce combined signals; and sampling, in analog-to-digital converter, each combined signal to form an output channel. 2. The method of claim 1 wherein the method further comprises: processing the output channel of each combined signal. 3. The method of claim 2 , wherein the processing uses compressive sensing. 4. The method of claim 3 , wherein the compressive sensing uses a model that requires non-zero elements of a reconstructed signal to be more than a beamwidth apart. 5. The method of claim 4 , wherein the processing performs detection of objects. 6. The method of claim 1 , wherein the sensor array is planar. 7. The method of claim 1 , wherein the combining is performed in an analog domain. 8. The method of claim 7 , wherein the combining is linear and uses combination coefficients that are only ±1. 9. The method of claim 1 , wherein the combining performs a linear combination. 10. The method of claim 9 , wherein the combining is linear and uses coefficients that are randomly selected from ±1. 11. The method of claim 1 , wherein the sensing elements are grouped randomly to produce M subsets each including one or more sensing elements. 12. The method of claim 1 , wherein the grouping sequentially groups the sensing elements into the M subsets. 13. The method of claim 12 , wherein the subsets include ┌L/M┐ or └L/M┘ sensing elements, and such that each sensing element is a member of only one subset. 14. The method of claim 1 , wherein the grouping randomly groups multiple sensing elements in multiple subsets such that each sensing element is a member of each subset with a fixed probability, and each subset contains multiple sensing elements.
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