Interference rejection method for an automotive radar CW/ICC system
First Claim
1. A method of interference rejection in a motor vehicle system having a forward looking radar sensor that is subject to possible interference from other radar systems, the method comprising the steps of:
- successively sampling output data of said radar sensor and storing the samples in a data array;
computing a variance of said samples;
associating said samples with a transient due to interference when the computed variance exceeds a threshold;
bounding a subset of said array including said associated samples;
creating a replacement set of data samples; and
replacing the bounded subset with the replacement set of data samples.
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Abstract
A method for rejecting system-to-system interference in a FLR system in which sampled data obtained from each channel of the FLR receiver is analyzed to recognize transient data due to interference with another FLR system and bounded in the time domain. The bounded data set is deleted and replaced with a new data set determined by interpolation. The transient data is recognized when the variance of a sliding window of samples exceeds a variance threshold. The method removes transient pulses with minimal distortion of the raw data, and the impact on system complexity and cost is minimal when the system already includes digital signal processing capability for other purposes.
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Citations
6 Claims
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1. A method of interference rejection in a motor vehicle system having a forward looking radar sensor that is subject to possible interference from other radar systems, the method comprising the steps of:
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successively sampling output data of said radar sensor and storing the samples in a data array; computing a variance of said samples; associating said samples with a transient due to interference when the computed variance exceeds a threshold; bounding a subset of said array including said associated samples; creating a replacement set of data samples; and replacing the bounded subset with the replacement set of data samples. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification