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Akita Lab
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The lab studies radar technology that uses radio waves to measure the position and velocity of targets.
AboutAbout the lab
Researching radar modulation schemes and signal processing
The Akita Lab studies the foundational technologies of radar, which transmits and receives radio waves to measure the position and velocity of targets.
Radar consists of modulation techniques, suppression of unwanted waves (clutter), signal processing to estimate target parameters, target recognition techniques, and more, and the lab advances research on these foundational technologies.
The lab envisions applications such as in-vehicle radar for driver assistance and autonomous driving, foreign object detection on runways and similar sites, space debris observation, and natural science observation.
The lab aims to develop radar modulation schemes and signal processing that make the most of available resources, such as the radio frequency bandwidth, the scale of the hardware, and prior knowledge about the measurement target and environment.
Key terms
- Clutter
- Unwanted waves that radar needs to suppress. The lab treats this suppression as one of radar's foundational technologies.
- Target parameters
- The position and velocity of a target, as measured by radar. They are estimated through signal processing.
- Multi-frequency step method
- An original radar modulation and demodulation scheme proposed by the Inaba-Akita Lab that achieves both long-range capability and high resolution.
ResearchResearch themes
The lab studies the foundational technologies of radar, which measures the position and velocity of targets using radio waves, from modulation techniques to signal processing. It envisions applications to in-vehicle radar, foreign object detection sensors for airport surfaces and similar settings, space debris observation, and natural science observation.
*Illustrative imageRadar Modulation Techniques (Waveform Design)
As the Inaba-Akita Lab, it has proposed the "multi-frequency step method," an original radar modulation and demodulation scheme that achieves both long-range capability and high resolution, and has demonstrated its effectiveness. The lab works on waveform design research built on this method.
*Illustrative imageSignal Processing for Estimating Target Parameters
As the Inaba-Akita Lab, it has proposed an automatic target detection process based on maximum likelihood estimation (the recursive signal subtraction frequency estimation method) and has built it into the demodulation signal processing of the multi-frequency step method. The lab will also pursue research that makes use of prior knowledge about the measurement target and environment.
MembersFaculty
The members of the Akita Lab are faculty members and students in the master's program and the undergraduate program.As of 2025
- Associate ProfessorManabu Akita
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Radar tower at RAF Leeming” amcD300 / CC BY 2.0 (cropped)
- Radar Modulation Techniques (Waveform Design): “Radar antenna” US Army / Public domain (cropped)
- Signal Processing for Estimating Target Parameters: “Radar à la Cité de l'Espace” Celeda / CC BY-SA 4.0 (cropped)
- Related lab (Nishi Lab): “Stardust - NC - shake test” JPL / Public domain (cropped)
- Related lab (Zhang Lab): “Signal processors @ MUSICVOX” AKX_ from Finland / CC BY 2.0 (cropped)
- Related lab (Takahashi Lab): “Mixing and mastering” Max Rayden / CC BY-SA 4.0 (cropped)
- Related lab (Ishibashi Lab): “LteMimoAntennen” BAZ Spezialantennen / CC BY 3.0 (cropped)
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