Sensor interface designs don't have to be overly complex, and yet it is often the case that they are. Sensor interfaces can require specialized ASICs for certain types of sensors, custom-designed analog front ends, or a simple digital interface for sensors with digital output. To some extent, the IoT segment of the semiconductor industry has recognized this, and many sensor devices have converged to I2C as the popular protocol for capturing data from sensors. Still, there are many sensor devices that cannot use I2C and will still require an ADC input or a custom analog front end.
Instead of building analog front ends from discrete components, programmable mixed signal processors provide a faster path forward. These components provide a customizable analog processing block with digital logic, making them an excellent solution for designing custom multi-sensor interfaces. See how it all works in this article.
The common approach to designing multi-sensor interfaces typically centers on a microcontroller responsible for processing and capturing data from sensors with digital outputs, most often over I2C or SPI. These protocols have become standard in many sensor ecosystems because they simplify the data acquisition path: the MCU polls or receives interrupts from digital sensors, reads registers over a serial bus, and processes the resulting data in firmware. For systems that only require digital sensor inputs, this architecture is straightforward and well-supported by most MCU families.
However, most real-world sensor systems also need to capture analog signals, which must be conditioned before digitization. This means the system requires an ADC, and upstream of that ADC, amplifier circuits for signal conditioning. Instrumentation amplifiers, transimpedance amplifiers, or simple gain stages are common depending on the sensor type and output range. Filtering is also typically necessary to reject noise before the signal reaches the converter input.
The ADC itself introduces additional design overhead. Whether it is a standalone converter or one integrated into the MCU, the analog input often demands a driver circuit to present the correct source impedance to the sample-and-hold network. Without proper driving, the ADC's acquisition time may be insufficient, leading to gain errors or nonlinearity. Once the signal is digitized, the MCU's application firmware handles further processing, calibration, and communication. The result is a system with multiple discrete analog stages, each requiring careful component selection, layout consideration, and validation, all before the data even reaches the digital domain where the MCU can act on it.
The standard architecture for sensor data acquisition places an MCU at the center of the system. The MCU detects digital sensor outputs directly over I2C or SPI buses and, for analog signals, captures them through a built-in ADC pin. A block diagram of this architecture shows the MCU connected to multiple digital sensors on one side and to analog signal conditioning circuitry feeding its ADC input on the other.
This topology makes MCUs and other digital processors excellent choices for capturing data from sensors with digital outputs. The serial peripheral interfaces are mature, well-documented, and supported by extensive driver libraries. However, MCUs offer very little support for analog signals within the same chip. The built-in ADC provides a conversion function, but it does not provide the front-end conditioning that most analog sensors require. There is no programmable gain, no configurable filtering, and no flexible analog routing inside the MCU itself.
Whether an MCU's integrated ADC or an external standalone ADC is used to capture the analog signals, the designer still faces the same board-level analog design problem:
The analog front end remains a discrete, board-level design problem regardless of how capable the digital processing side of the system is.
Programmable mixed-signal processors offer a fundamentally different architecture for sensor interfaces. Instead of designing discrete analog conditioning circuits on the PCB and then routing the conditioned signal into a separate digital device, a programmable mixed-signal processor implements the analog front end inside the chip itself. The designer configures internal analog blocks, such as operational amplifiers, analog comparators, voltage references, and lookup tables, through software rather than through physical component selection and board layout. The result is effectively a CPLD for analog signals: a reconfigurable device where the analog processing path can be defined, modified, and re-verified without a board respin.
This programmability directly reduces system complexity. Gain stages, threshold detectors, and simple filtering functions that would otherwise require multiple discrete components and careful PCB routing are absorbed into a single IC. The board area savings can reach up to 90% compared to equivalent discrete solutions, and the design iteration cycle shortens considerably because changes happen in configuration software rather than in schematic and layout revisions.
Renesas GreenPAK is a family of programmable mixed-signal ICs that combines analog blocks (operational amplifiers, analog comparators) with digital logic blocks (LUTs, flip-flops, counters, delay generators) in a single small-footprint package. GreenPAK devices are one-time programmable or reprogrammable depending on the variant, and they are available in packages as small as 1.0 mm × 1.2 mm. The internal resources available in a typical GreenPAK device include:
Designers can build and simulate an analog front end for a GreenPAK component using the Go Configure software from Renesas. This tool provides a graphical design environment where internal analog and digital resources are connected visually, simulated for functional correctness, and then programmed directly into the device through a development kit.
Go Configure software environment showing a Renesas GreenPAK design.
To learn more, take a look at the GreenPAK components and reference examples.
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