The present invention relates to a method for operating a radar sensor system including multiple radar sensors operating independently of one another in a motor vehicle.
With increasing functional scope of driver assistance systems for motor vehicles and as the objective of completely autonomous driving is being progressively approached, an increasing number of radar sensors is installed in motor vehicles, which fulfill a plurality of different tasks independently of one another within the same vehicle, such as measurement of the distance from the preceding vehicle, detection of pedestrians at the roadside, blind spot monitoring, monitoring of the rear area of the vehicle, parking assistance and the like. As the number of the radar signal sources grows, the likelihood of disruptive interferences between radar signals transmitted by different radar sensors also increases.
It is an object of the present invention to reduce the likelihood of such disruptive interferences.
This object may be achieved according to an example embodiment of the present invention by synchronizing the radar sensors with one another with respect to their transmission times and transmission frequencies in such a way that two radar signals whose frequency separation is smaller than a certain minimum frequency separation are at no point in time transmitted simultaneously.
The minimum frequency separation is selected in such a way that at least the radar signals transmitted by different radar sensors of the same vehicle do not result in disruptive interferences, i.e., that the beats resulting from the superposition of such signals have a frequency which is outside the frequency range considered during the signal evaluation in the individual radar sensors. Since superpositions of the radar signals may also be caused by reflections and multiple reflections on objects in the surroundings of the vehicle, it is advantageous to also synchronize radar sensors with one another in this way whose transmission and reception ranges actually do not overlap one another.
Synchronizing of multiple radar sensors in a vehicle with one another is described, for example, in German Patent Application No. DE 101 24 909 A1. Such a synchronization is required whenever the radar sensors cooperate with one another, for example by the evaluation of cross echoes, i.e., of radar signals which are transmitted by one sensor and received by another sensor. In contrast, the special characteristic of the present invention is that radar sensors which operate completely independently of one another are synchronized with one another.
Advantageous embodiments of the present invention are described herein.
In each individual radar sensor, the local time and frequency is usually derived by a crystal oscillator. For cost reasons, however, crystal oscillators are used whose frequency accuracy is limited and, for example, is in the order of magnitude of several MHz, which is not sufficient for a reliable interference avoidance. In one advantageous specific embodiment, a shared clock signal is thus provided to the radar sensors of the system, with which all radar sensors synchronize. In this way, an exact synchronization, which is also stable over extended periods of time, may be achieved, without having to use more expensive oscillators having a high frequency accuracy.
In general, a bus system is present in the motor vehicle, for example CAN, Flexray or Ethernet, via which the radar sensors communicate with other electronic components in the vehicle, for example with a processor of a driver assistance system, wheel speed sensors and the like. In one advantageous specific embodiment of the present invention, this bus system is used to provide the shared clock signal for the radar sensors so that no additional lines need to be run during the installation. The clock signal used for synchronization may be fed into the bus by a special clock generator as a kind of time stamp. In another specific embodiment of the present invention, however, it is also possible to use the data traffic taking place on the bus anyhow, which always takes place at a defined data rate, for a reconstruction of a shared clock signal in the individual radar sensors. Such a clock signal reconstruction (clock recovery) is provided, for example, with Ethernet clients anyway and may thus be used in the radar sensors for a frequency synchronization, for example with the aid of a frequency counter in a microcontroller or the like.
The synchronization of the radar sensors may be repeated at certain time intervals so that the synchronization is not distorted by aging effects or temperature effects in the local oscillators of the radar sensors.
An exemplary embodiment of the present invention is described in greater detail hereafter based on the figures.
The vehicle includes a bus system 16, for example a CAN bus system, via which different sensor and actuator components and electronic control entities of the vehicle communicate with one another. Radar sensors 12, 14 are also connected to the bus system and communicate via this bus system, among other things, with a driver assistance system in which the positioning data are further evaluated.
In the example shown here, bus system 16 is also used to provide radar sensors 12, 14 with a shared clock signal, which allows radar sensors 12, 14 to be precisely synchronized with one another.
The frequency of shared clock signal T is compared to local clock signal L1 and L2 by a frequency comparator 22. In the event of a frequency deviation, frequency comparator 22 reports a deviation signal D to a controller 24, which activates transmission oscillator 20 and determines the frequency modulation of the radar signal, which is then emitted via an antenna 26.
As is shown in
Within the same time interval 28, the pulses of local clock signal L1 and L2 are also counted in each case. In the shown example, local clock signal L1 has the same frequency as shared clock signal T, i.e., sixteen pulses of clock signal L1 are also counted in time interval 28. The base oscillator generating clock signal L2, in contrast, has a slightly smaller frequency, so that only fifteen pulses are counted here in time interval 28. Based on the difference between the setpoint number of the pulses (sixteen in this example) and the actually counted number (fifteen in this example), the frequency deviation of the particular base oscillator may be ascertained, which is then reported as deviation signal D to controller 24.
It is not mandatory, of course, that the base oscillators 22 have the same frequency as clock signal T. It suffices that a certain setpoint ratio exists between these clock signals.
If, as is the case with local clock signal L2 here, a frequency deviation is established, controller 24 may correct the local time in the particular radar sensor based on deviation signal D. Based on deviation signal D, it is also possible to calibrate the frequency generated by transmission oscillator 20 to the frequency of clock signal T.
If, in this way, the local times and the transmission frequencies in all radar sensors are synchronized with clock signal T, a synchronization of the local times and frequencies of the radar sensors among one another is also achieved, without having to have precise knowledge of the absolute value of the frequency of shared clock signal T to do so. For this reason, clock signal T may be derived from any arbitrary signal which is available on bus system 16 and has a sufficiently stable frequency.
Number | Date | Country | Kind |
---|---|---|---|
102018201302.0 | Jan 2018 | DE | national |
Filing Document | Filing Date | Country | Kind |
---|---|---|---|
PCT/EP2018/082300 | 11/22/2018 | WO |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2019/145066 | 8/1/2019 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
6147638 | Rohling | Nov 2000 | A |
7737880 | Vacanti | Jun 2010 | B2 |
9733340 | Rao | Aug 2017 | B2 |
20020067737 | Wego | Jun 2002 | A1 |
20100097263 | Vacanti | Apr 2010 | A1 |
20100150288 | Zhu | Jun 2010 | A1 |
20160146931 | Rao | May 2016 | A1 |
20160352388 | Lane | Dec 2016 | A1 |
20170363714 | Rao | Dec 2017 | A1 |
20180284258 | Roger | Oct 2018 | A1 |
20190056478 | Millar | Feb 2019 | A1 |
Number | Date | Country |
---|---|---|
10124909 | Dec 2002 | DE |
102015218542 | Mar 2017 | DE |
102015218542 | Mar 2017 | DE |
2180336 | Apr 2010 | EP |
1639758 | Jun 2013 | EP |
2015007615 | Jan 2015 | JP |
Entry |
---|
International Search Report for PCT/EP2018/082300, dated Feb. 25, 2019. |
Number | Date | Country | |
---|---|---|---|
20210080536 A1 | Mar 2021 | US |