FREQUENCY DOMAIN SPARSITY-BASED INTERFERENCE MITIGATION FOR AUTOMOTIVE RADAR

The wide application of automotive radar greatly increases the risk of mutual interference between vehicles. To address this problem, this paper proposes an efficient interference suppression framework based on frequency domain sparsity. Firstly, The linear time-domain signal model is transformed into an optimal solution to the problem of extracting targets. Moreover, we utilize the orthogonal property of the Fourier matrix to avoid complex inverse matrix calculations and greatly reduce the computational memory while maintaining interference suppression performance. Both simulation and measured data validate the effectiveness of our approach, showing that our method not only suppresses mutual interference between automotive radars but also extracts range information from multiple targets.