Featured Researchers

 

Dr. Peter Kinman
Electrical and Computer Engineering

Dr. Young Kim

Dr. Young Kim
Electrical and Computer Engineering

 

Featured Research

Radio-Frequency Interference Analysis
Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; Funding Agency: NASA/JPL

Advanced Transponder and Advanced Receiver
Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; pkinman@csufresno.edu Funding Agency: NASA/JPL

A Real-time System for Detection and Classification of a Moving Target
Principal Investigator: Young Kim, Department of Electrical and Computer Engineering; youngkim@csufresno.edu Funding Agency: Samsung Thales


Radio-Frequency Interference Analysis

Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; pkinman@csufresno.edu Funding Agency: NASA/JPL

Dr. Kinman shall perform technical studies and analyses to investigate potential radio frequency interference (RFI) to the deep-space network (DSN) caused by terrestrial systems and satellite systems operating in or near the DSN frequency bands.  He will provide technical data for use by the Spectrum Engineering Team and the JPL Frequency Manager to develop NASA/JPL’s position and strategy related to spectrum management issues and protection of the DSN.  He will assess adverse effects of RFI on the Downlink Telemetry and Tracking Subsystem. He will provide support for International Telecommunication Union (ITU) studies, including the High Density Fixed Service (HDFS) study.

Advanced Transponder and Advanced Receiver

Principal Investigator: Peter Kinman, Department of Electrical and Computer Engineering; pkinman@csufresno.edu Funding Agency: NASA/JPL

Dr. Kinman shall analyze and validate specifications for a new class of transponders and receivers.  This shall include specifications of command, telemetry and radiometric performance parameters for the transponder and specifications of telemetry, Doppler and ranging performance parameters for the receiver.

A Real-time System for Detection and Classification of a Moving Target

Principal Investigator: Young Kim, Department of Electrical and Computer Engineering; youngkim@csufresno.edu Funding Agency: Samsung Thales

The objective of this project is the development of a real-time system that detects and classifies a moving target through data measured by multiple sensors including seismic sensor, Doppler sensor and UWB radar. Targets include humans, dogs and vehicles. To classify the target, it is suggested that the algorithm analyzes and characterizes the responses of multiple sensors in time and frequency domain. The Principal Component Analysis (PCA) is proposed for the feature extraction. The target classification is performed through the developed machine learning technique of Support Vector Machine (SVM) that involves in data fusion algorithms.

Dr. Kim's Research