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How to Use MAPPI32: Examples, Pinouts, and Specs

Image of MAPPI32
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Introduction

The MAPPI32, manufactured by KMTEK (Part ID: UNO), is a programmable analog signal processing integrated circuit (IC) designed for high-precision applications. It is equipped with multiple input channels, programmable gain, and filtering capabilities, making it ideal for signal conditioning and data acquisition tasks. The MAPPI32 is widely used in industrial automation, medical instrumentation, and scientific research, where accurate and reliable signal processing is critical.

Explore Projects Built with MAPPI32

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
ESP32-Based GPS Tracker with Audio Input
Image of railmic: A project utilizing MAPPI32 in a practical application
This circuit features an ESP32 microcontroller connected to an INMP441 microphone and a GPS NEO 6M module. The ESP32 is configured to communicate with the INMP441 via I2S (Inter-IC Sound) using its D32, D33, and D25 pins for the clock, data, and word select lines, respectively. Additionally, the ESP32's TX2 and RX2 pins are used for UART communication with the GPS module, allowing the microcontroller to receive GPS data.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32 CAM-Based Audio-GPS Tracking System
Image of Copy of Kidventure: A project utilizing MAPPI32 in a practical application
This circuit features an ESP32 CAM microcontroller as the central processing unit, interfaced with a GPS NEO 6M module for location tracking, an INMP441 microphone for audio input, and a Max98357 audio amplifier connected to a loudspeaker for audio output. The ESP32 CAM facilitates communication with the GPS module via UART (RX/TX pins) and controls the microphone and audio amplifier through I2S (Inter-IC Sound) protocol using GPIO pins for clocking and data transfer. The circuit is designed for applications requiring audio-visual data capture with location tagging, such as surveillance or remote monitoring systems.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-Based Remote-Controlled Servo System with GPS and IMU Integration
Image of RC Plane: A project utilizing MAPPI32 in a practical application
This circuit integrates an ESP32 microcontroller with an AR610 receiver, an MPU-6050 accelerometer, a Neo 6M GPS module, and multiple servos. The ESP32 processes input signals from the AR610 receiver and MPU-6050, while controlling the servos and receiving GPS data for navigation or control purposes.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-Based Smart Connectivity Hub with RFID and GPS Tracking
Image of Ccapstone: A project utilizing MAPPI32 in a practical application
This circuit features an ESP32 microcontroller as the central processing unit, interfaced with an ESP32-CAM module for image capture, an RFID-RC522 module for RFID communication, a GPS NEO 6M module for location tracking, and a SIM800L module for GSM communication capabilities. The ESP32 is configured to communicate with these peripherals using GPIO and serial connections, enabling functionalities such as RFID-based identification, image capture, location tracking, and GSM-based data transmission. The provided code suggests that the ESP32-CAM module is programmable, but the specific functionality is not defined in the provided code snippet.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with MAPPI32

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of railmic: A project utilizing MAPPI32 in a practical application
ESP32-Based GPS Tracker with Audio Input
This circuit features an ESP32 microcontroller connected to an INMP441 microphone and a GPS NEO 6M module. The ESP32 is configured to communicate with the INMP441 via I2S (Inter-IC Sound) using its D32, D33, and D25 pins for the clock, data, and word select lines, respectively. Additionally, the ESP32's TX2 and RX2 pins are used for UART communication with the GPS module, allowing the microcontroller to receive GPS data.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Copy of Kidventure: A project utilizing MAPPI32 in a practical application
ESP32 CAM-Based Audio-GPS Tracking System
This circuit features an ESP32 CAM microcontroller as the central processing unit, interfaced with a GPS NEO 6M module for location tracking, an INMP441 microphone for audio input, and a Max98357 audio amplifier connected to a loudspeaker for audio output. The ESP32 CAM facilitates communication with the GPS module via UART (RX/TX pins) and controls the microphone and audio amplifier through I2S (Inter-IC Sound) protocol using GPIO pins for clocking and data transfer. The circuit is designed for applications requiring audio-visual data capture with location tagging, such as surveillance or remote monitoring systems.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of RC Plane: A project utilizing MAPPI32 in a practical application
ESP32-Based Remote-Controlled Servo System with GPS and IMU Integration
This circuit integrates an ESP32 microcontroller with an AR610 receiver, an MPU-6050 accelerometer, a Neo 6M GPS module, and multiple servos. The ESP32 processes input signals from the AR610 receiver and MPU-6050, while controlling the servos and receiving GPS data for navigation or control purposes.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Ccapstone: A project utilizing MAPPI32 in a practical application
ESP32-Based Smart Connectivity Hub with RFID and GPS Tracking
This circuit features an ESP32 microcontroller as the central processing unit, interfaced with an ESP32-CAM module for image capture, an RFID-RC522 module for RFID communication, a GPS NEO 6M module for location tracking, and a SIM800L module for GSM communication capabilities. The ESP32 is configured to communicate with these peripherals using GPIO and serial connections, enabling functionalities such as RFID-based identification, image capture, location tracking, and GSM-based data transmission. The provided code suggests that the ESP32-CAM module is programmable, but the specific functionality is not defined in the provided code snippet.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications

  • Signal conditioning for sensors (e.g., temperature, pressure, and strain gauges)
  • Data acquisition systems
  • Industrial process control
  • Medical devices requiring high-precision analog signal processing
  • Scientific instrumentation

Technical Specifications

Key Technical Details

Parameter Value
Supply Voltage 3.3V to 5V
Input Channels 4 differential or 8 single-ended
Programmable Gain Range 1x to 128x
Input Impedance >10 MΩ
Bandwidth 0.1 Hz to 100 kHz (programmable)
Output Format Analog or SPI digital output
Operating Temperature Range -40°C to +85°C
Package Type 28-pin TSSOP

Pin Configuration and Descriptions

Pin Number Pin Name Description
1 VDD Positive power supply (3.3V to 5V)
2 GND Ground
3-10 IN1+ to IN4- Differential or single-ended input channels
11 REF+ Positive reference voltage input
12 REF- Negative reference voltage input
13 SPI_MOSI SPI Master Out Slave In (data input)
14 SPI_MISO SPI Master In Slave Out (data output)
15 SPI_SCK SPI clock
16 SPI_CS SPI chip select
17 OUT Analog output (filtered signal)
18 RESET Active-low reset pin
19-28 NC No connection (reserved for future use)

Usage Instructions

How to Use the MAPPI32 in a Circuit

  1. Power Supply: Connect the VDD pin to a stable 3.3V or 5V power source and the GND pin to ground.
  2. Input Configuration:
    • For differential inputs, connect the signal source to the IN+ and IN- pins of the desired channel.
    • For single-ended inputs, connect the signal source to the IN+ pin and ground the corresponding IN- pin.
  3. Reference Voltage: Provide a stable reference voltage to the REF+ and REF- pins. This determines the input range.
  4. SPI Communication:
    • Connect the SPI_MOSI, SPI_MISO, SPI_SCK, and SPI_CS pins to the corresponding pins on your microcontroller or processor.
    • Use SPI to configure the gain, bandwidth, and filtering settings.
  5. Output:
    • For analog output, read the processed signal from the OUT pin.
    • For digital output, use the SPI interface to retrieve the processed data.

Important Considerations and Best Practices

  • Use decoupling capacitors (e.g., 0.1 µF and 10 µF) near the VDD pin to ensure stable operation.
  • Avoid long wires for input signals to minimize noise and signal degradation.
  • Ensure the reference voltage is stable and noise-free for accurate measurements.
  • Configure the gain and bandwidth settings based on the input signal characteristics to avoid saturation or distortion.
  • If using the SPI interface, ensure proper termination and clock speed settings to avoid communication errors.

Example: Connecting MAPPI32 to an Arduino UNO

Below is an example of how to configure the MAPPI32 using an Arduino UNO via SPI:

#include <SPI.h>

// Define SPI pins for MAPPI32
const int chipSelectPin = 10; // Chip select pin for MAPPI32

void setup() {
  // Initialize SPI communication
  SPI.begin();
  pinMode(chipSelectPin, OUTPUT);
  digitalWrite(chipSelectPin, HIGH); // Set CS pin high initially

  // Configure MAPPI32 settings
  configureMAPPI32();
}

void loop() {
  // Example: Read processed data from MAPPI32
  int processedData = readMAPPI32();
  Serial.println(processedData); // Print the data to the serial monitor
  delay(1000); // Wait for 1 second
}

void configureMAPPI32() {
  digitalWrite(chipSelectPin, LOW); // Select MAPPI32
  SPI.transfer(0x01); // Example command to set gain
  SPI.transfer(0x80); // Example value for gain (e.g., 128x)
  digitalWrite(chipSelectPin, HIGH); // Deselect MAPPI32
}

int readMAPPI32() {
  digitalWrite(chipSelectPin, LOW); // Select MAPPI32
  SPI.transfer(0x02); // Example command to read data
  int data = SPI.transfer(0x00); // Read data from MAPPI32
  digitalWrite(chipSelectPin, HIGH); // Deselect MAPPI32
  return data;
}

Notes:

  • Replace the example SPI commands (0x01, 0x02, etc.) with the actual commands from the MAPPI32 datasheet.
  • Ensure the Arduino UNO is powered with a stable 5V supply when interfacing with the MAPPI32.

Troubleshooting and FAQs

Common Issues and Solutions

  1. No Output Signal:

    • Verify the power supply connections (VDD and GND).
    • Check the reference voltage (REF+ and REF-) for stability.
    • Ensure the input signal is within the expected range.
  2. No SPI Communication:

    • Confirm the SPI pins are correctly connected to the microcontroller.
    • Check the SPI clock speed and ensure it matches the MAPPI32's requirements.
    • Verify the chip select (CS) pin is toggling correctly.
  3. Distorted or Saturated Output:

    • Reduce the gain setting if the input signal is too large.
    • Check for noise or interference in the input signal.
  4. High Noise in Output:

    • Use proper shielding and grounding techniques for the input signals.
    • Add external filtering if necessary.

FAQs

Q: Can the MAPPI32 handle both AC and DC signals?
A: Yes, the MAPPI32 can process both AC and DC signals, but the bandwidth and gain settings should be configured accordingly.

Q: What is the maximum input voltage range?
A: The input voltage range depends on the reference voltage and gain settings. For example, with a 5V reference and 1x gain, the range is approximately ±5V.

Q: Can I use the MAPPI32 with a 3.3V microcontroller?
A: Yes, the MAPPI32 is compatible with 3.3V systems. Ensure the SPI voltage levels match the microcontroller's logic levels.

Q: How do I reset the MAPPI32?
A: Pull the RESET pin low for at least 10 µs to reset the device.