Distortion Mitigation in Millimeter-Wave Interferometric Radar Angular Velocity Estimation Using Signal Response Decomposition
Eric Klinefelter, Jason M. Merlo, and Jeffrey A. Nanzer

TL;DR
This paper introduces a novel distortion mitigation technique for millimeter-wave interferometric radar that decomposes responses to accurately estimate multiple targets' angular velocities, significantly reducing errors.
Contribution
The paper presents a new response decomposition method that effectively eliminates intermodulation distortion in multitarget interferometric radar angular velocity estimation.
Findings
Achieved angular velocity estimation errors below 0.008 rad/s in easy scenarios.
Demonstrated effective distortion mitigation across different difficulty levels.
Validated approach with custom 40 GHz radar and robotic platforms.
Abstract
A new method of distortion mitigation for multitarget interferometric angular velocity estimation in millimeter-wave radar is presented. In general, when multiple targets are present, the response of a correlation interferometer is corrupted by intermodulation distortion, making it difficult to estimate individual target angular velocities. We present a distortion mitigation method that works by decomposing the responses at each antenna element into the responses from the individual targets. Data association is performed to match individual target responses at each antenna such that cross-correlation is performed only between associated targets. Thus, the intermodulation distortion (cross-terms) from correlating unlike targets are eliminated, and the result is a frequency response whose individual frequencies are proportional to the angular velocities of the targets. We demonstrate the…
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Taxonomy
TopicsAdvanced SAR Imaging Techniques · Advanced Optical Sensing Technologies · Structural Health Monitoring Techniques
