An Ultra-Compact ARCL-Based MEMS Radar Filter for Mobile Robotic Platforms

Area of Science:

• Electrical Engineering
• Microwave Engineering
• Robotics

Background:

• Mobile robotic platforms require miniaturized, reliable perception systems.
• Existing solutions face challenges with size, dielectric loss, and radiation loss.
• High integration density is crucial for robotic radar front-ends with limited payload.

Purpose of the Study:

• To present an ultra-compact bandpass filter for mobile robotic perception systems.
• To address the stringent requirements for miniaturization and high reliability.
• To enhance the performance of robotic sensing units.

Main Methods:

• Utilized micro-electro-mechanical systems (MEMS) technology for fabrication.
• Designed an air core recta-coax line structure with an air-filled cavity and internal coupled lines.
• Employed classical filter synthesis theory for high-order response design.
• Incorporated a fully enclosed metal shield to minimize losses.

Main Results:

• Achieved a highly compact footprint (0.875 mm³).
• Demonstrated low insertion loss (1.5 dB) at 75 GHz.
• Exhibited high-Q characteristics for improved out-of-band rejection.
• Experimental results showed reasonable agreement with simulations.

Conclusions:

• The proposed ultra-compact bandpass filter offers a promising solution for next-generation robotic sensing.
• The design effectively minimizes dielectric and radiation losses.
• Enhanced signal-to-noise ratio and interference suppression benefit robotic detection.