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1. COLDEX Open Polar Radar MARFA Airborne Radar Data

   https://doi.org/10.18738/T8/J38CO5  

   Young, Duncan A; Paden, John D; Greenbaum, Jamin S; Blankenship, Donald D; Kerr, Megan E; Singh, Shivangini; Kaundinya, Shravan R; Chan, Kristian; Buhl, Dillon P; Ng, Gregory; et al (January 2024, Texas Data Repository)

   This is a pointer to the Open Polar Radar website and flight based CReSIS SAR processed data. These transect projected radargrams were collected as part of the Center for Oldest Ice Exploration (COLDEX) Science and Technology Center (https://www.coldex.org) in the 2022/23 (CXA1) and 2023/24 (CXA2) airborne field seasons. Raw 3 TB data from both seasons is deposited at the USAP data center at https://doi.org/10.15784/601768. The set of images in this archive was designed for easy, non expert, access to radargrams, organized according to survey design. 2022-23 (CXA1) flight based HDF5/matlab format data is available here: https://data.cresis.ku.edu/data/rds/2022_Antarctica_BaslerMKB/ 2023-24 (CXA2) flight based data HDF5/matlab format is available here: https://data.cresis.ku.edu/data/rds/2023_Antarctica_BaslerMKB/ 2022-23 (CXA1) transect based (science organized) unfocused data in netCDF format is available here: https://doi.org/10.18738/T8/XPMLCC 2023-24 (CXA2) transect based (science organized) unfocused data in netCDF format is available here: https://doi.org/10.18738/T8/FV6VNT Reprojected transect based images (science organized) in standard image (png, jpg) formats will be available here: ttps://doi.org/10.18738/T8/NEF2XM 

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2. Radar Aeroecology

   https://doi.org/10.3390/rs12111768  

   Kelly, Jeffrey F.; Stepanian, Phillip M. (June 2020, Remote Sensing)

   null (Ed.)

   Aeroecology is an emerging discipline founded by Tom Kunz and colleagues in the early 2000s to address the challenges of studying animal flight in the lower atmosphere [...] 

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3. Multistatic Radar Development for the Colorado Zephyr Meteor Radar Network

   https://doi.org/10.46620/22-0061  

   Rainville, Nicholas; Palo, Scott; Marino, John; Volz, Ryan (January 2023, Radio science letters)

   The development of a multistatic radar system for the Colorado Zephyr Meteor Radar Network is described in this article. This system relies on recent developments in the field of meteor radar, including advancements in software-defined radio-based radar receivers, multistatic wind retrieval, coded constant- wave transmit signals, and transmit-side interferometry. We present the current status of a prototype multistatic radar transmitter deployed in Platteville, Colorado, and a forward look toward how it can inform the design of a large-scale radar network. 

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4. MIMO Radar Technology

   Sun, Shunqiao (December 2022, IET)

   Peng, Zhengyu; Li, Changzhi; Uysal, Faruk (Ed.)
5. OFDM Pilot-Based Radar for Joint Vehicular Communication and Radar Systems

   https://doi.org/10.1109/VNC.2018.8628347  

   Ozkaptan, Ceyhun D.; Ekici, Eylem; Altintas, Onur; Wang, Chang-Heng (December 2018, 2018 IEEE Vehicular Networking Conference (VNC))

   With the large-scale deployment of connected and autonomous vehicles, the demand on wireless communication spectrum increases rapidly in vehicular networks. Due to increased demand, the allocated spectrum at the 5.9 GHz band for vehicular communication cannot be used efficiently for larger payloads to improve cooperative sensing, safety, and mobility. To achieve higher data rates, the millimeter-wave (mmWave) automotive radar spectrum at 76-81 GHz band can be exploited for communication. However, instead of employing spectral isolation or interference mitigation schemes between communication and radar, we design a joint system for vehicles to perform both functions using the same waveform. In this paper, we propose radar processing methods that use pilots in the orthogonal frequency-division multiplexing (OFDM) waveform. While the radar receiver exploits pilots for sensing, the communication receiver can leverage pilots to estimate the time-varying channel. The simulation results show that proposed radar processing can be efficiently implemented and meet the automotive radar requirements. We also present joint system design problems to find optimal resource allocation between data and pilot subcarriers based on radar estimation accuracy and effective channel capacity. 

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