Autoregressive Model-Based Signal Reconstruction for Automotive Radar Interference Mitigation

Interference Mitigation in Automotive Radars

We study the mutual interference problem arising in the fast growing market of automotive radars. For the widely used frequency-modulated continuous waveform automotive radars, the major consequences of mutual interference are ghost targets and increased noise floor. The schemes of interference mitigation are then investigated, including adaptive signal processing in the time domain at receive ...

Signal processing structure for automotive radar

Automotive radar sensors will be used in many future applications to increase comfort and safety. Compared to classical radar applications like air surveillance, the automotive radar observation area is rather small, but will contain numerous different targets. Due to the close distance of these objects the target resolution procedures become very important. This paper gives an overview about a...

adaptive radar signal detection in gaussian clutter with autoregressive model using kalman fillter

in this paper, we deal with the problem of adaptive coherent signal detection in gaussian interference (clutter plus noise) for surveillance pulse radars. some of the adaptive radar detectors exploit the ar model for clutter. most of these detectors have been obtained using the glr test. this test relies on the maximum likelihood estimation whose accuracy depends on the number of data. whereas,...

Time-Varying Autoregressive Model Based Signal Processing with Applications to Interference Rejection in Spread Spectrum Communications

Inter-atom Interference Mitigation for Sparse Signal Reconstruction Using Semi-blindly Weighted Minimum Variance Distortionless Response

The feasibility of sparse signal reconstruction depends heavily on the inter-atom interference of redundant dictionary. In this paper, a semi-blindly weighted minimum variance distortionless response (SBWMVDR) is proposed to mitigate the inter-atom interference. Examples of direction of arrival estimation are presented to show that the orthogonal match pursuit (OMP) based on SBWMVDR performs be...