The design philosophy for sensor processors primarily encompasses the following key aspects:
Signal Extraction and Noise Suppression
Primary Objective: Since the physical quantities being measured are typically minute and accompanied by conversion noise, the foremost task of the design is to maximize the extraction of useful signals while simultaneously minimizing noise.
Implementation Methods: This may necessitate the use of high-precision conversion elements, signal conditioning circuits, and effective filtering techniques to mitigate noise interference.
Circuit Refinement and Simplicity
Design Philosophy: Sensor processor circuitry should be kept as simple and streamlined as possible, avoiding unnecessary complexity and redundant components.
Implementation Methods: This involves simplifying the circuit architecture-specifically by reducing the number of amplification and filtering stages-to minimize the risk of noise amplification and a degradation in the signal-to-noise ratio (SNR).
Low-Power Design
Key Considerations: Sensor processors typically reside at the front end of a system's circuitry and may require relatively long interconnecting leads; consequently, power consumption demands particular attention.
Implementation Methods: This entails employing low-power components and circuit designs, alongside effective power management strategies, to reduce the sensor's overall power consumption and minimize the introduction of extraneous noise.
Component Selection and Power Circuitry
Component Selection: Select appropriate components based on requirements, avoiding over-engineering.
Power Circuit Design: Choose a suitable power supply and power circuit topology to ensure power stability and common-mode rejection ratio, thereby meeting the requirements of the sensor processor.
Design Techniques and Tool Utilization
Bus Tools: Utilize bus tools to interface the sensor processor with a PC; this helps minimize unknown variables and facilitates a rapid understanding of the sensor processor's operational principles.
High-Level Code Development: Write application code using high-level languages-such as Python-to enable rapid testing and validation of the sensors.
Leveraging Vendor Code: Although vendor-provided code may not always be elegant, it serves as an excellent starting point for learning how the sensor processor functions.
Sensor Fusion Libraries: Utilize established sensor fusion libraries to accelerate the development process and avoid "reinventing the wheel."