Radar sensors are crucial for environment perception of driver assistance systems as well autonomous vehicles. With a rising number radar and the so far unregulated automotive frequency band, mutual interference is inevitable must be dealt with. Algorithms models operating on data required to run early processing steps specialized sensor hardware. This hardware typically has strict resource-con...

In this paper we investigate the performance of a combined Compressive Sensing (CS) Constant False Alarm Rate (CFAR) radar processor under different interference scenarios using both the Cell Averaging (CA) and Order Statistic (OS) CFAR detectors. Using the properties of the Complex Approximate Message Passing (CAMP) algorithm, we demonstrate that the behavior of the CFAR processor is independe...

Due to the increasing demand for spectrum resources, co-existence of communications and radar systems has been proposed that allows operate in same frequency band. On other hand, deep learning shown great potential revolutionizing systems. In this work, we investigate use subject interference from Specifically, consider a single-carrier system. Linear frequency-modulated (LFM) continuous-wave (...

High frequency (HF) radars are capable to detect and track targets at extremely long ranges. But the signal environment that includes external noise, different kinds of clutter and interference will significantly limit the detection and system capability. This paper considers a new approach to solve the ship detection problem in a complex HF radar signal environment. It uses detection procedure...