Doppler-Resilient 802.11ad-Based Ultra-Short Range Automotive Joint Radar-Communications System
We present an ultra-short range IEEE 802.11ad-based automotive joint radar-communications (JRC) framework, wherein we improve the radar's Doppler resilience by incorporating Prouhet-Thue-Morse sequences in the preamble. The proposed processing reveals detailed micro-features of common automotive objects verified through extended scattering center models of animated pedestrian, bicycle, and car targets. Numerical experiments demonstrate $2.5$% reduction in the probability-of-false-alarm at low signal-to-noise-ratios and improvement in the peak-to-sidelobe level dynamic range up to Doppler velocities of $\pm144$ km/hr over conventional 802.11ad JRC.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Weighted SPICE Algorithms for Range-Doppler Imaging Using One-Bit Automotive Radar
We consider the problem of range-Doppler imaging using one-bit automotive LFMCW1 or PMCW radar that utilizes one-bit ADC sampling with time-varying thresholds at the receiver. The one-bit sampling technique can significa…
parameter estimationDoppler-Resilient Design of CAZAC Sequences for mmWave/THz Sensing Applications
Ultra-high-resolution target sensing has emerged as a key enabler for various cutting-edge applications, which can be realized by utilizing the millimeter wave/terahertz frequencies. However, the extremely high operating…
Polarimetric Radar Cross-Sections of Pedestrians at Automotive Radar Frequencies
Simulation of radar cross-sections (RCS) of pedestrians at automotive radar frequencies forms a key tool for software verification test beds for advanced driver assistance systems. Two commonly used simulation methods ar…
Transmit Beamspace DDMA Based Automotive MIMO Radar
The time division multiple access (TDMA) technique has been applied in automotive multiple-input multiple-output (MIMO) radar. However, it suffers from the transmit energy loss, and as a result the parameter estimation p…
parameter estimationDAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps
Due to the small number of raw data automotive radar datasets and the low resolution of such radar sensors, automotive radar object detection has been little explored with deep learning models in comparison to camera and…
2D Object DetectionObjectobject-detectionObject Detection+1