Error-Resilient Compression: Using Deep Learning and Polar Coding to Improve Satellite Communication
Session
Weekend Poster Session 2
Location
Utah State University, Logan, UT
Abstract
MEMESat-1 is a flying transceiver for the amateur radio community with a packet data rate of 9600 baud (Lassiter et al). This severely limits the amount of data that can be transmitted on each pass by aground observer, hence, compression must occur. Due to the general similarity of the expected payload data (such as Figure 2), w e hypothesize that compression via deep learning is the best approach.
Error-Resilient Compression: Using Deep Learning and Polar Coding to Improve Satellite Communication
Utah State University, Logan, UT
MEMESat-1 is a flying transceiver for the amateur radio community with a packet data rate of 9600 baud (Lassiter et al). This severely limits the amount of data that can be transmitted on each pass by aground observer, hence, compression must occur. Due to the general similarity of the expected payload data (such as Figure 2), w e hypothesize that compression via deep learning is the best approach.
