Logarithmic Frequency Waveforms
A New Paradigm in Radar Signal Processing
Logarithmic Frequency Waveforms (LFWs) are a new class of Doppler estimation capable radar and communications waveforms, created by mapping the magnitudes, phases, and spacing of good digital codes onto a set of carriers defined over a logarithmically warped frequency axis. This mapping preserves the digital code’s autocorrelation mainlobe-to-sidelobe ratio when matched filtering is done over the warped frequency variable. The logarithm converts the multiplicative Doppler shift into an additive translation of the code’s autocorrelation, thus the location of the matched filter output is used to estimate the waveform’s Doppler shift. There are two major classes of Logarithmic Frequency Waveforms: Logarithmic Frequency Codes (LFCs) and Logarithmic Frequency Rulers (LFRs). LFCs utilize phased radar codes, such as Barker and Frank codes, while LFRs use Golomb rulers.
Date and Time
Location
Hosts
Registration
- Date: 17 Nov 2020
- Time: 05:30 PM to 06:30 PM
- All times are (GMT-05:00) EST5EDT
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- Rochester, New York
- United States
- Starts 04 November 2020 06:00 AM
- Ends 17 November 2020 05:25 PM
- All times are (GMT-05:00) EST5EDT
- No Admission Charge
Speakers
Dr. Alex Byrley
Logarithmic Frequency Waveforms
Biography:
Dr. Alex Byrley is the new chairman of the Rochester Signal Processing Society. He holds the title of Signal Processing Scientist at Mastodon Design LLC in Rochester, NY, where he designs and implements machine learning and signal processing algorithms for radar receivers. Logarithmic Frequency Waveforms were developed for his Ph.D. from SUNY Buffalo.
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