Design of APRS Modem Using IC TCM3105 and ATMega2560 Microcontroller

2019-01-10

APRS technology is still exists and still developing among amateur radio. However, in Indonesia there are still not many people who use and utilize APRS. The high price of APRS modem and difficulties of getting APRS modems is one of the factors affecting the public interest in APRS. In Indonesia, no one has developed APRS modem, so that our paper will be discuss about design and develop of APRS modem using cheap and easy components FSK modem IC TCM3105 and ATmega2560 as microcontroller. The implementation of APRS standard protocol on modem that has been made use C programming language on Arduino IDE and the schematic design and printed circuit board layout use Proteus 8. IC TCM3105 selection is based on the specification of eligible components of APRS device able to set the baud rate of 1200 bps with FSK modulation technique. The ATmega2560 microcontroller is chosen as the information signal encoding processor and calculate the CRC-16-X25 FCS (Frame Check Sequence) for the information packet according to the standard AX.25 UI Frame APRS protocol. AX.25 UI Frame APRS protocol consists of flag, destination address, source address, digipeater address, control field, protocol ID, information field and FCS. The result of this paper is APRS modem device that has been made can send the APRS information packet very well. This is proved by APRS packet that has been sent can be received and repeated by ground station of Pusteksat LAPAN also connected on APRS international network in aprs.fi. In addition, the information that has been sent from APRS modem can be decoded correctly by APRS software decoder such as Soundmodem, AFSK1200, dan AX.25-SCS.

📄 PDF Abstract BibTeX arXiv:1901.05292

Code (0)

등록된 구현이 없습니다.

Attitude Control and Low Cost Design of UAV Bicopter

2023-09-15 · Fahmizal, Hanung Adi Nugroho, Adha Imam Cahyadi, Igi Ardiyanto

This paper present a control system for the attitude and low cost design of a Bicopter. The control system uses a PID controller that receives feedback from an IMU to calculate control inputs that adjust the Bicopters at…

Deep Microcompression: Structured Pruning and Bit-packed Quantization for Microcontrollers

2026-09-04 · Opegbemi Matthias Busoye, Tolulope Matthew Busoye, Eghonghon-aye Eigbe arxiv

This paper introduces Deep Microcompression (DMC), a hardware-aware pipeline for deep learning inference on bare-metal microcontrollers. DMC integrates structured pruning, quantization-aware training, and fixed-length bi…

Configuration and Collection Factors for Side-Channel Disassembly

2022-04-10 · Random Gwinn, Mark Matties, Aviel D. Rubin

Myriad uses, methodologies, and channels have been explored for side-channel analysis. However, specific implementation considerations are often unpublished. This paper explores select test configuration and collection p…

Side Channel Analysis Time Series Time Series Analysis

Gait Recovery System for Parkinson's Disease using Machine Learning on Embedded Platforms

2020-04-13 · Gokul H., Prithvi Suresh, Hari Vignesh B, Pravin Kumaar R 외

Freezing of Gait (FoG) is a common gait deficit among patients diagnosed with Parkinson's Disease (PD). In order to help these patients recover from FoG episodes, Rhythmic Auditory Stimulation (RAS) is needed. The author…

BIG-bench Machine Learning

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

2017-08-01 · ICML 2017 8 · Ashish Kumar, Saurabh Goyal, Manik Varma

This paper develops a novel tree-based algorithm, called Bonsai, for efficient prediction on IoT devices – such as those based on the Arduino Uno board having an 8 bit ATmega328P microcontroller operating at 16 MHz …

Action Classification BIG-bench Machine Learning Prediction