Characterizing the Impact of IQ Imbalance and DC Bias on Pulse-Agile Radar Processing
| Autor: | Patrick M. McCormick, Charles A. Mohr, Cenk Sahin, Shane Flandermeyer, Justin G. Metcalf, Andrew Kordik |
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| Rok vydání: | 2020 |
| Předmět: |
020301 aerospace & aeronautics
IQ imbalance business.industry Computer science 020206 networking & telecommunications 02 engineering and technology law.invention Pulse (physics) 0203 mechanical engineering Sampling (signal processing) law 0202 electrical engineering electronic engineering information engineering Electronic engineering Clutter Waveform Radar business Agile software development DC bias |
| Zdroj: | 2020 IEEE International Radar Conference (RADAR). |
| DOI: | 10.1109/radar42522.2020.9114629 |
| Popis: | The advent of commercial-off-the-shelf (COTS) software-defined radars (SDRs) has enabled low-cost, flexible experimentation with emerging pulse-agile waveform designs to mitigate spectral congestion, improve radar performance, embed communications, and other applications. We examine the impact of direct digital downconversion sampling imperfections in the form of IQ imbalance and DC bias on pulse-agile waveforms. A general framework is developed and examples given for a particular radar-embedded communication waveform. It is shown that the clutter response due to IQ imbalance is significantly increased in a pulse agile framework. |
| Databáze: | OpenAIRE |
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