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dc.contributor.advisor Geng, Xiaojun en_US Amposta, Caleb 2021-01-13T17:31:42Z 2021-01-13T17:31:42Z 2021-01-13
dc.description.abstract The performance characterization of range finding sensors were a preliminary phase of the sensor integration process as part of the initial work to complete the Drone Modular Smart Pallet project. The sensor was the MB1242, I2CXL-MaxSonar-EZ4 ultrasonic sensor. The data was collected with the processing of the Raspberry Pi 4B microcomputer and analyzed in MATLAB. The project was split into four parts: collecting sensor data, analyzing the external factors affecting the sensor performance, building a model from the sensor measurements, and preliminary processing of the range readings using a moving average, median, and Kalman filter. The most significant performance factors were highlighted for consideration in the pallets future sensor fusion process. Compensation for changing wave propagation speeds in varying temperatures was implemented in real time to evaluate potential performance improvements. A simulation was done for range-finding in flight to evaluate the effectiveness of several noise filtering methods. Real data was used whenever possible for the cases of range finding a stationary target on a static platform.
dc.description.statementofresponsibility by Caleb Amposta en_US
dc.format.extent vii, 48 pages en_US
dc.language.iso en_US en_US
dc.publisher California State University, Northridge en_US
dc.subject Kalman filter
dc.subject ultrasonic sensor
dc.subject range finding
dc.subject performance characterization
dc.subject temperature compensation
dc.subject gaussian noise filtering
dc.subject.other Dissertations, Academic -- CSUN -- Engineering -- Electrical and Computer Engineering. en_US
dc.title Performance Characterization of Range Finding Sensors
dc.type Thesis en_US 2021-01-13T17:31:42Z
dc.contributor.department Electrical & Computer Engineering en_US M.S. en_US
dc.contributor.committeeMember Mirzaei, Shahnam en_US
dc.contributor.committeeMember Hang, Xiyi en_US

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