Programmable circuits for analog matrix computations

Area of Science:

• Electrical Engineering
• Applied Physics
• Signal Processing

Background:

• Matrix operations are fundamental to radiofrequency (RF) and microwave signal processing.
• Analog matrix computations offer significant advantages in speed, size, weight, and power (SWaP) reduction for RF and microwave devices.
• Current electronic systems often require power-hungry components for complex matrix operations.

Purpose of the Study:

• To propose and demonstrate a microwave-integrated circuit capable of universal unitary matrix transformations.
• To leverage electromagnetic wave properties for parallel signal processing at the speed of light.
• To reduce reliance on power-hungry electronics in RF and microwave systems.

Main Methods:

• The proposed device utilizes alternating non-reconfigurable and reconfigurable layers of basic RF components.
• Cascaded power dividers and programmable phase elements form the core of the reconfigurable layers.
• Controllable multipath interference is achieved through linear wave mixing and active phase control.

Main Results:

• A four-port integrated circuit was experimentally demonstrated.
• The device operates across a frequency range of 1.5-3.0 GHz.
• The circuit functions at low power levels, in the hundreds of microwatts range.

Conclusions:

• The developed device enables universal analog matrix transformations for RF and microwave signal processing.
• This technology can lead to universal analog RF and microwave processors with programmable functionalities.
• Potential applications include advanced communication systems and radar systems requiring multipurpose processing capabilities.