(a) The camera image for the imaging environment with two inclinedly parked cars (b) The MIMO-SAR imaging result where we use two rectangles to cover the parked cars (c) Range-angle map imaging for single-frame radar data. ![]() To enable coherent processing over the synthetic aperture, we integrate a radar odometry algorithm that estimates the trajectory of ego-radar.įigure: MIMO-SAR imaging for roadside experiment 1. The proposed 2-stage hierarchical MIMO-SAR processing workflow drastically reduces the computation load while preserving image resolution. We propose a solution via a new multiple-input and multiple-output synthetic aperture radar (MIMO-SAR) imaging technique, that applies coherent SAR principles to vehicular MIMO radar to improve the side-view (angular) resolution. Radar Vision – High-resolution Radar ImagingĪ key shortcoming for present-day vehicular radar imaging is poor azimuth resolution (for side-looking operation) due to the form factor limits on antenna size and placement. To bypass the complexity of 4D convolutional neural networks (NN), we propose to combine several lower-dimension NN models within our RAMP-CNN model that nonetheless approaches the performance upper-bound with lower complexity.įigure: test examples from the city road scenario For each column, the top-row image is the synchronized camera image for visualization, the second-row image is the corresponding radar RA heatmap, and the bottom-row image is the visualization of the RAMP-CNN model results. We propose a novel radar multiple-perspectives convolutional neural network (RAMP-CNN) that extracts location and class of objects based on further processing of the range-velocity-angle (RVA) heatmap sequences. Millimeter-wave (mmW) radars are being increasingly integrated into commercial vehicles to support new advanced driver-assistance systems (ADAS) by enabling robust and high-performance object detection, localization, as well as recognition – a key component of new environmental perception. Research in this area focuses on extending coverage through the use of LTE D2D capability introduced in 3GPP release 12, the use of response systems to disaster stricken areas like cell on wheels and drone technologies, and network performance under extreme disaster scenarios.Ĭenter on Satellite Multimedia and Connected VehiclesĪffiliated Student: Xiangyu Gao, Sian Jin LTE will be forced to add priority queuing for public safety data, a feature currently unused in LTE, and device to device(D2D) communications. Due to the stringent requirements of public safety communications there will be many challenges associated with the new system. Over the next decade network providers will roll out an LTE based public safety network to replace the current system nationwide. terrestrial TV). In this project, we seek to improve RFI flagging by enhancing the AOflagger with new algorithmic capabilities tuned to known RFI source characteristics. The MWA system currently implements AOflagger algorithm that is known to perform sub-optimally under certain RFI (e.g. The received signal processing chain must detect and flag these anomalies so they are excised from the database used for astronomy research. Radio Astronomy arrays – such as Murchison Widefield Array (MWA) in the West Australian desert – seeks to detect extremely faint radiation (the desired signal) in the presence of other ‘Sky Noise’ (other undesired signals emanating from the galaxy) and terrestrial (man made) radio frequency interference (RFI). Rad-Com is envisaged as new approaches for managing multi-radar operation for improving radar functionality via integration of vehicular networks (both V-2-V and V-2-I) in support.ĥG Spectrum Info: This provides a queryable tool for searching 5G spectrum plans for different regions in the continental US. ![]() Rad-Com for Automotive Applications: Integration of automotive radars with vehicle networks will play a key role in enable various intelligent driver-assist functions, and ultimately autonomous vehicles. Current research focusses on:Ĭompressed sensing application on channel estimation of 5G MIMO/SISO: 5G wireless networks aim to be a leap forward in terms of three new application scenarios defined by: enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC) and massive machine type communications (mMTC).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |