Saravanan Sivakumar

3-Channel Transducer Interface Board – Underwater SONAR Application

• Designed and developed a 3-channel transducer interface board for hydrophone signal processing in SONAR systems.
• Integrated multi-stage analog signal conditioning (filtering, amplification) with high-speed ADCs and SoC-based data acquisition and processing.
• Achieved low power consumption and met MIL-STD requirements for underwater applications.
• Ensured robust performance in a mixed-signal environment with emphasis on analog and digital co-design.

72-Channel Front-End Electronics – SONAR Data Acquisition System

• Developed a multi-channel front-end system to process 72 hydrophone inputs for SONAR signal acquisition.
• Designed preamplifiers, signal conditioning circuits, and power supplies for precision underwater signal capture.
• Implemented FPGA-based signal processing and beamforming using Xilinx Kintex-7.
• Integrated Ethernet, UART, and I2C communication protocols for control and data transmission.

Transmission Control System – Battle Tank Application

• Led development of a critical control system comprising six major PCB cards for battle tank engine management.
• Designed isolated power supplies, sensor interfaces, and embedded control logic.
• Utilized NXP microcontrollers and Xilinx Zynq-7000 FPGAs for control algorithms and real-time data acquisition.
• Implemented CAN, Ethernet, I2C, and SPI protocols ensuring robust communication.
• System met MIL-STD reliability and environmental standards.

VME-Based Power Supply Card – Naval Application

• Developed a VME standard power supply card generating six 3A DC outputs from 230V AC.
• Achieved
• Integrated voltage and current monitoring using PIC 32-bit microcontroller.
• Designed for rugged naval environments with a focus on stability and reliability.

AI-Enhanced Acoustic Source Detection System

• Developed an advanced acoustic detection system integrating low-noise signal conditioning and high-precision audio processing.
• Designed analog front-end circuits including preamplifier and filters for accurate signal capture.
• Implemented AI-based digital signal processing algorithms for real-time source identification and classification.
• Optimized performance in complex and noisy acoustic environments.