Method for identifying interference in a radar system
AssigneeHella GmbH & Co. KGaA
InventorsTai Fei, Christopher Grimm, Frank Gruenhaupt, Ernst Warsitz
Life of this patent
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Abstract
A method for identifying interference in a radar system of a vehicle, wherein the following steps are carried out: receiving at least one incoming signal of the radar system; determining detection information from the incoming signal; performing an evaluation of the detection information by at least one neural network; and using a result of the evaluation as a prognosis of interference with the incoming signal.
Claims12
A method for identifying interference in a radar system of a motor vehicle, the method comprising:
- receiving at least one incoming signal of the radar system;
- determining detection information from the incoming signal;
- performing an evaluation of the detection information by at least one neural network;
- and
- using a result of the evaluation as a prognosis of interference with the incoming signal,
- wherein the at least one neural network comprises at least one recurrent neural network which takes into account the evaluations of temporally preceding detection information, and wherein an output of the at least one neural network is used as the result of the evaluation, and
- wherein the at least one neural network comprises at least one convolutional neural network, which receives the detection information as input, and the output of which is used as input to the at least one recurrent neural network.
A radar system for detecting target objects in surroundings of a vehicle, the radar system comprising:
- a processing device designed to carry out the steps:
- determining detection information from an incoming signal of the radar system;
- performing an evaluation of the detection information by at least one neural network;
- and
- using a result of the evaluation as a prognosis of interference with the incoming signal,
- wherein the at least one neural network comprises at least one recurrent neural network which takes into account the evaluations of temporally preceding detection information, and wherein an output of the at least one neural network is used as the result of the evaluation, and
- wherein the at least one neural network comprises at least one convolutional neural network, which receives the detection information as input, and the output of which is used as input to the at least one recurrent neural network.
A non-transitory computer-readable medium storing a computer program comprising instructions which, when executed by a processing device of a radar system, cause the processing device to perform the following steps:
- determining detection information from an incoming signal of the radar system;
- performing an evaluation of the detection information by at least one neural network;
- and
- using a result of the evaluation as a prognosis of interference with the incoming signal,
- wherein the at least one neural network comprises at least one recurrent neural network which takes into account the evaluations of temporally preceding detection information, and wherein an output of the at least one neural network is used as the result of the evaluation, and
- wherein the at least one neural network comprises at least one convolutional neural network, which receives the detection information as input, and the output of which is used as input to the at least one recurrent neural network.
Dependencies are inferred from the claim text.