Automotive Radar Interference Mitigation Using Adaptive Noise Canceller

TL;DR

This paper presents a low-cost adaptive noise canceller method for automotive radar interference mitigation, significantly improving signal quality by reducing interference effects in real-time.

Contribution

The paper introduces a novel adaptive noise canceller approach that leverages the correlation between positive and negative frequency components to mitigate interference.

Findings

Effective interference reduction demonstrated in simulations.

Experimental results confirm improved signal-to-interference ratio.

Low computational cost of the proposed method.

Abstract

Interference among frequency modulated continues wave automotive radars can either increase the noise floor, which occurs in the most cases, or generate a ghost target in rare situations. To address the increment of noise floor due to interference, we proposed a low calculation cost method using adaptive noise canceller to increase the signal-to-interference ratio. In a quadrature receiver, the interference in the positive half of frequency spectrum is correlated to that in the negative half of frequency spectrum, whereas the beat frequencies from real targets are always present in the positive frequency. Thus, we estimated the power of the negative frequency as an indication of interference, and fed the positive frequency and negative frequency components into the primary and reference channel of an adaptive noise canceller, respectively. The least mean square algorithm was used to solve for the optimum filter solution. As a result, both the simulation and experiment showed a good interference mitigation performance.