Innovations in electronics and technology have made it possible to incorporate a variety of advanced features on automotive vehicles. Various sensing technologies have been developed for detecting objects or monitoring the surroundings in a vicinity or pathway of a vehicle. Such systems are useful for parking assist, lane departure detection and cruise control adjustment features, for example.
More recently, automated vehicle features have become possible to allow for autonomous or semi-autonomous vehicle control. Sensors for such systems may incorporate LIDAR (light detection and ranging) or radar for detecting an object or another vehicle in the pathway of or otherwise near the vehicle. Depending on the approach speed, the cruise control setting may be automatically adjusted to reduce the speed of the vehicle based on detecting another vehicle in the pathway of the vehicle, for example.
One aspect of such sensing technologies includes determining an angle associated with the detection for properly identifying the position of an object external to the vehicle. With known radar systems, angle resolution depends on the spacing between the detector elements and the overall antenna or receiver aperture. Automotive sensing devices typically have a small number of transmit and receive channels. These considerations have made the placement of radar or LIDAR detector elements critical to achieve a desired level of performance.
There are challenges associated with designing and utilizing such devices on automotive vehicles. While a larger aperture size can yield better angular discrimination, it does not come without a cost. Increasing the aperture size tends to introduce grating lobes in the spectrum especially when the array spacing is greater than one-half a wavelength as demonstrated by the Nyqist-Shannon sampling theorem. Typical radar detector design includes placing the detector elements in an array with a one-half wavelength spacing between them to avoid grating lobes.
Those skilled in the art are striving to improve various aspects of detectors useful on vehicles.
An illustrative example embodiment of a detector device which may be useful on an automated vehicle, includes an array of detectors arranged in one dimension. The array includes a plurality of first detectors and a plurality of second detectors. The first detectors respectively have one of the second detectors between the first detector and an adjacent one of the first detectors. The first detectors respectively are spaced from the one of the second detectors by a first distance. The second detectors are respectively spaced from the adjacent one of the first detectors by a second distance that is larger than the first distance. The first detectors are spaced from each other by a third distance that is a sum of the first and second distance. The second detectors are also spaced from each other by the third distance.
An embodiment having one or more features of the detector device of the previous paragraph includes a processor that determines an angle of detection of the device. The processor is configured to determine a first estimate of the angle of detection from the plurality of first detectors. The processor is configured to determine a second estimate of the angle of detection from the plurality of second detectors. The processor determines the angle of detection from at least one of the first estimate or the second estimate.
In an example embodiment having one or more features of the detector device of either of the previous paragraphs, the processor is configured to determine a plurality of first estimates, determine a plurality of second estimates, identify which one of the first estimates is closest in value to one of the second estimates, and determine the angle of detection from at least one of the identified one of the first estimates and the identified one of the second estimates.
An example embodiment having one or more features of the detector device of any of the previous paragraphs includes a processor that determines an angle of detection of the device. The processor is configured to treat the array of detectors as a multiple-dimensional array wherein the first detectors are in a first dimension with the third distance between the first detectors, the second detectors are in a second dimension with the third distance between the second detectors, and the first dimension is spaced from the second dimension by the first distance. The processor is configured to determine respective detection angle estimates in each of the first and second dimensions and determine the angle of detection of the device based on the respective detection angle estimates.
In an example embodiment having one or more features of the detector device of any of the previous paragraphs, the processor is configured to determine a plurality of first detection angle estimates in the first dimension, determine a plurality of second detection angle estimates in the second dimension, and determine the angle of detection from at least one of the first detection angle estimates that corresponds to at least one of the second detection angle estimates.
In an example embodiment having one or more features of the detector device of any of the previous paragraphs, the processor is configured to determine the plurality of first detection angle estimates for a corresponding first plurality of intervals, wherein a number of the intervals in the first plurality of intervals is based on the third spacing. The processor is also configured to determine the plurality of second detection angle estimates for a corresponding second plurality of intervals, wherein a number of the intervals in the second plurality of intervals is based on the first distance.
In an example embodiment having one or more features of the detector device of any of the previous paragraphs, the processor is configured to identify which one of the first detection angle estimates is closest in value to one of the second detection angle estimates and determine the angle of detection based on at least one of the identified one of the first detection angle estimates and the identified one of the second detection angle estimates.
In an example embodiment having one or more features of the detector device of any of the previous paragraphs, the identified one of the first detection angle estimates is approximately equal to the identified one of the second detection angle estimates.
In an example embodiment having one or more features of the detector device of any of the previous paragraphs, the angle of detection is an angle in the one dimension.
In an example embodiment having one or more features of the detector device of any of the previous paragraphs, the detectors respectively comprise an antenna.
An illustrative example method of operating a detector device having one or more features of the detector device of any of the previous paragraphs includes determining a first estimate of an angle of detection from the plurality of first detectors, determining a second estimate of the angle of detection from the plurality of second detectors, and determining the angle of detection from at least one of the first estimate or the second estimate.
An example embodiment having one or more features of the method of the previous paragraph includes determining a plurality of first estimates, determining a plurality of second estimates, identifying which one of the first estimates is closest in value to one of the second estimates, and determining the angle of detection from at least one of the identified one of the first estimates and the identified one of the second estimates.
An example embodiment having one or more features of the method of either of the previous paragraphs includes using a processor to treat the array of detectors as a multiple-dimensional array wherein the first detectors are in a first dimension with the third distance between the first detectors, the second detectors are in a second dimension with the third distance between the second detectors, and the first dimension is spaced from the second dimension by the first distance. The processor is also used to determine respective detection angle estimates in each of the first and second dimensions and determine the angle of detection of the device based on the respective detection angle estimates.
An example embodiment having one or more features of the method of any of the previous paragraphs includes determining a plurality of first detection angle estimates in the first dimension, determining a plurality of second detection angle estimates in the second dimension, and determining the angle of detection from at least one of the first detection angle estimates that corresponds to at least one of the second detection angle estimates.
An example embodiment having one or more features of the method of any of the previous paragraphs includes determining the plurality of first detection angle estimates for a corresponding first plurality of intervals, wherein a number of the intervals in the first plurality of intervals is based on the third spacing, and determining the plurality of second detection angle estimates for a corresponding second plurality of intervals, wherein a number of the intervals in the second plurality of intervals is based on the first distance.
An example embodiment having one or more features of the method of any of the previous paragraphs includes identifying which one of the first detection angle estimates is closest in value to one of the second detection angle estimates and determining the angle of detection based on at least one of the identified one of the first detection angle estimates and the identified one of the second detection angle estimates.
In an example embodiment having one or more features of the method of any of the previous paragraphs, the identified one of the first detection angle estimates is approximately equal to the identified one of the second detection angle estimates.
In an example embodiment having one or more features of the method of any of the previous paragraphs, the angle of detection is an angle in the one dimension.
In an example embodiment having one or more features of the method of any of the previous paragraphs, the detectors respectively comprise an antenna.
Various features and advantages of at least one disclosed example embodiment will become apparent to those skilled in the art from the following detailed description. The drawings that accompany the detailed description can be briefly described as follows.
The arrangement of the detectors 26 and 28 in the one dimension includes spacing between detectors that facilitates angle detection or determination with improved accuracy. As can be appreciated from
As shown in
The spacing or separation between the detectors may be considered to establish two linear arrays with the individual detectors of each array staggered or alternatingly spaced with the others. When a spacing d is required to avoid grating lobes within a desired field of vision, the distance d1 is set to a value of N×d and the distance d2 is set to a value (N+1)×d, where N is an integer. In examples where d is one-half a wavelength, d1 and d2 may be one-half a wavelength and one wavelength, respectively, or one wavelength and 1.5 wavelength, respectively. Larger values of N allow for achieving larger apertures.
The spacing arrangement of the detectors in the example of
The positions shown in
At 48, the processor 30 determines a second estimate of the angle of detection from the plurality of second detectors 28 using the same multiple-dimension array angle determination technique. The second estimate of the angle of detection may be considered as though it were an elevation angle determination in a multiple-dimensional array configuration. Of course, the actual configuration of the detector device 22 is a one-dimensional array so the angle estimates are actually both in the one dimension rather than being in two different dimensions or directions.
In one example, the processor 30 uses a known Fast Fourier Transform (FFT) angle finding algorithm for single target applications. In another example, the processor 30 is programmed or configured to use a two-dimensional unitary Esprit angle finding algorithm for multiple targets. Given this description, those skilled in the art will be able to select an appropriate multiple-dimension angle determination algorithm that suits their particular needs.
At 50, the processor 30 determines the angle of detection of the detector device 22 in the one dimension based on the first and second estimates of the angle of detection determined at 46 and 48, respectively.
The processor 30 is programmed or configured to determine which of the first estimates obtained from the plurality of first detectors 26 most closely corresponds to one of the second estimates from the second detectors 28. In the example of
By treating different ones of the detectors 26 and 28 as a plurality of detectors in different dimensions as described above, the example device 22 provides two estimates of the angle of detection based on the first spacing d1 and the third spacing d1+d2. Both estimates are aliased as if they were obtained from spacings larger than the maximum which avoids grating lobes. In effect, the angle estimates from the distances d1 and d1+d2 are first unfolded to two sets of angles defined by d1 and d1+d2, respectively, then the best match between the two sets of estimates is found and identified as the angle of detection from the d1+d2 spacing.
The paired staggered array configuration and the manner in which the processor 30 determines the angle of detection allows for better angle discrimination by effectively expanding the detector array aperture without introducing the problems associated with grating lobes. Additionally, the disclosed example embodiment allows for maintaining a linear array configuration, which facilitates MIMO setup such that increased accuracy is possible without increasing complexity.
The example detector device configuration of the disclosed example embodiment provides increased angle detection accuracy and introduces the possibility of a larger variety of detector configurations.
The preceding description is exemplary rather than limiting in nature. Variations and modifications to the disclosed examples may become apparent to those skilled in the art that do not necessarily depart from the essence of this invention. The scope of legal protection given to this invention can only be determined by studying the following claims.
This application is a continuation of U.S. patent application Ser. No. 16/570,252, filed Sep. 13, 2019, now U.S. Pat. No. 10,809,737, which is a continuation of U.S. patent application Ser. No. 15/680,803, filed Aug. 18, 2017, now U.S. Pat. No. 10,316,680, which claims priority to United States Provisional Application No. 62/470,959, filed Mar. 14, 2017, the disclosure of which is incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
6700536 | Wiegand | Mar 2004 | B1 |
9643650 | Sim | May 2017 | B2 |
9684069 | Dolgin | Jun 2017 | B2 |
9733353 | Carlson | Aug 2017 | B1 |
9834207 | O'Dea | Dec 2017 | B2 |
9989637 | Rashid | Jun 2018 | B2 |
10037472 | Chen | Jul 2018 | B1 |
10416680 | Li | Sep 2019 | B2 |
20050024261 | Fujita | Feb 2005 | A1 |
20070052581 | Shima | Mar 2007 | A1 |
20070182619 | Honda et al. | Aug 2007 | A1 |
20090067286 | Bose | Mar 2009 | A1 |
20120242531 | Itoh | Sep 2012 | A1 |
20150097717 | Tsai | Apr 2015 | A1 |
20150247924 | Kishigami | Sep 2015 | A1 |
20160091595 | Alcalde | Mar 2016 | A1 |
20160104946 | Natsume | Apr 2016 | A1 |
20160146932 | Millar | May 2016 | A1 |
20160378117 | Szatmary | Dec 2016 | A1 |
20170176586 | Johnson | Jun 2017 | A1 |
20170261980 | Matsushita | Sep 2017 | A1 |
20170293299 | Matsushita | Oct 2017 | A1 |
20170313324 | Kumai | Nov 2017 | A1 |
20180004205 | Matsunaga | Jan 2018 | A1 |
20180231636 | Maher | Aug 2018 | A1 |
20190143967 | Kutila | May 2019 | A1 |
20190163997 | Matsumura | May 2019 | A1 |
20210109540 | Li | Apr 2021 | A1 |
Number | Date | Country |
---|---|---|
101369014 | Feb 2009 | CN |
101915906 | Dec 2010 | CN |
104076334 | Oct 2014 | CN |
106415931 | Feb 2017 | CN |
1788408 | May 2007 | EP |
2015226291 | Dec 2015 | JP |
2013053467 | Apr 2013 | WO |
2013053467 | Apr 2013 | WO |
Entry |
---|
Notification of the First Office Action for CN Application No. 201810203895.7 dated Nov. 3, 2022. |
Notification of the Second Office Action regarding Chinese Patent Application No. 201810203895-7, dated Jun. 29, 2023. Translation provided by NTD Intellectual Property Attorneys. |
Number | Date | Country | |
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20210109540 A1 | Apr 2021 | US |
Number | Date | Country | |
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62470959 | Mar 2017 | US |
Number | Date | Country | |
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Parent | 16570252 | Sep 2019 | US |
Child | 17075190 | US | |
Parent | 15680803 | Aug 2017 | US |
Child | 16570252 | US |