Showing 4 results for Automotive Radar
Ali Azarbar, Masoud Dahmardeh, Mohammad Mahdi Taskhiri,
Volume 8, Issue 2 (6-2018)
Abstract
This article presents a phased array antenna employing MEMS phase shifter. The proposed phased array antenna consists of eight square patch antennas operating at 10.4 GHz with a bandwidth of 400 MHz. Feed line for each patch passes through a MEMS phase shifter realized by a series of bridges above the transmission line. The distance between the bridge and the transmission line underneath it is adjusted using a control signal applied to them, which in turn, introduces a loading effect on the feed signal. This changes the effective length of the feed line and provides phase shifts with 15-degree resolution. Low loss conversion units are employed in order to couple the phase shifter and microstrip lines. The integrated numerical analysis approach applied to phased array antenna employing MEMS phase shifter and the scattering parameters and radiation patterns at different steering angles demonstrate the effectiveness of employing MEMS phase shifters in designing phased array antennas. The proposed design methodology might be applied to other frequency bands, such as millimeter-wave for automotive applications. Employment of MEMS phase shifters instead of solid-state ones provides high linearity, high power handling, and wide frequency range of operation.
Dr Mohammad Mahdi Taskhiri,
Volume 13, Issue 3 (9-2023)
Abstract
This paper presents an inhomogeneous lens to radiate a control-table Fan Shaped pattern for long-range automotive applications. Fan Shaped pattern of the designed lens covers more angles in azimuth. The proposed circular aperture inhomogeneous lens is designed based on the critical angle theorem. The profile of the dielectric constant of the proposed lens changes in 3 directions of ρ, φ, and z. The lens is matched to the source and surroundings. A closed-form formula is offered for an arbitrary fan-shaped pattern lens antenna. A compact circular lens with a diameter of 20 mm and thickness of 2.25 mm is simulated in CST full-wave software to validate the design structure.
Dr Ali Farahbakhsh,
Volume 13, Issue 4 (12-2023)
Abstract
This paper presents a single layer circularly polarized (CP) antenna array based on gap waveguide (GW) technology for automotive radar applications. The antenna element is a curved slot that is cut into the top wall of a groove gap waveguide (GGW) structure. An 8×8 slot array antenna is constructed by combining eight sub-arrays of linearly arranged slots, using an 8-way power divider as the feeding network. The power divider and the transition from WR12 to GGW are also designed based on GW technology. The proposed antenna array operates in the frequency band from 76 GHz to 81 GHz, covering the automotive radar working bandwidth. The antenna has a maximum gain of 23.8 dBi and a minimum axial ratio of 0.5 dB. The antenna performance is verified by simulation using CST Microwave Studio.
Mr. Jamal Kazazi, Dr. Mahmoud Kamarei, Dr. Mohammad Fakharzadeh,
Volume 15, Issue 4 (12-2025)
Abstract
Target detection using cameras or automotive radar to identify traffic or prevent collisions is an important issue in Autonomous Vehicles (AV) research. Traditional Constant False Alarm Rate (CFAR) methods are commonly employed. Although these methods are suitable for lightweight hardware, improving the target detection process often leads to losing real-time performance. The method proposed in this paper improves detection accuracy. It reduces response time by modifying the position of guard cells in the first stage and employing harmonic averaging (inverse of the sum of the inverse of data) while eliminating data sorting in the second stage. Moreover, this approach exhibits better performance in the presence of interfering targets. Since the proposed method is more applicable to the Range-Doppler map, it has been named RD-CFAR. The proposed method also enhances target detection in Synthetic Aperture Radar (SAR) images. Simulation results demonstrate that the proposed algorithm improves detection probability by nearly 40% compared to conventional methods (like CA-CFAR), while maintaining comparable computational time.
