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1. 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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2. Deep Radar Waveform Design for Efficient Automotive Radar Sensing

   https://doi.org/10.1109/SAM48682.2020.9104367  

   Khobahi, Shahin ; Bose, Arindam ; Soltanalian, Mojtaba ( June 2020 , 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM))

   2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM) 

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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. 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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5. A mmWave MIMO Joint Radar-Communication Testbed With Radar-Assisted Precoding

   https://doi.org/10.1109/TWC.2023.3337282  

   Ozkaptan, Ceyhun D ; Zhu, Haocheng ; Ekici, Eylem ; Altintas, Onur ( July 2024 , IEEE Transactions on Wireless Communications)