Full metadata
Title
Hardware Implementation and Analysis of Temporal Interference Mitigation : A High-Level Synthesis Based Approach
Description
The following document describes the hardware implementation and analysis of Temporal Interference Mitigation using High-Level Synthesis. As the problem of spectral congestion becomes more chronic and widespread, Electromagnetic radio frequency (RF) based systems are posing as viable solution to this problem. Among the existing RF methods Cooperation based systems have been a solution to a host of congestion problems. One of the most important elements of RF receiver is the spatially adaptive part of the receiver. Temporal Mitigation is vital technique employed at the receiver for signal recovery and future propagation along the radar chain.
The computationally intensive parts of temporal mitigation are identified and hardware accelerated. The hardware implementation is based on sequential approach with optimizations applied on the individual components for better performance.
An extensive analysis using a range of fixed point data types is performed to find the optimal data type necessary.
Finally a hybrid combination of data types for different components of temporal mitigation is proposed based on results from the above analysis.
The computationally intensive parts of temporal mitigation are identified and hardware accelerated. The hardware implementation is based on sequential approach with optimizations applied on the individual components for better performance.
An extensive analysis using a range of fixed point data types is performed to find the optimal data type necessary.
Finally a hybrid combination of data types for different components of temporal mitigation is proposed based on results from the above analysis.
Date Created
2020
Contributors
- Siddiqui, Saquib Ahmad (Author)
- Bliss, Daniel (Thesis advisor)
- Chakrabarti, Chaitali (Committee member)
- Ogras, Umit Y. (Committee member)
- Jayasuriya, Suren (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
80 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.62725
Level of coding
minimal
Note
Masters Thesis Computer Engineering 2020
System Created
- 2020-12-08 11:58:54
System Modified
- 2021-08-26 09:47:01
- 3 years 2 months ago
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