Abstract
In the wireless burst communication of Traffic Alert and Collision Avoidance System (TCAS) and mode S airborne transponders, it is necessary to meet the needs of large dynamic range and high sensitivity. In order to meet the above needs, this paper proposes an adaptive truncation signal processing algorithm to solve the problem of dynamic range, sensitivity, and threshold setting. And this method is certified by data simulation analysis. The results show that the error rate of the adaptive truncation algorithm is the same as that of full-precision signal processing when the effective number of bits is greater than 4 bits. However, due to the fixed bit width in the signal processing flow, the adaptive truncation algorithm has an advantage in resource consumption. In summary, this paper adopts adaptive truncation signal processing algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 61-64 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728137209 |
| DOIs | |
| Publication status | Published - Jul 2019 |
| Event | 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 - Shenyang, China Duration: 12 Jul 2019 → 14 Jul 2019 |
Publication series
| Name | 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 |
|---|
Conference
| Conference | 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 |
|---|---|
| Country/Territory | China |
| City | Shenyang |
| Period | 12/07/19 → 14/07/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- adaptive truncation
- dynamic range
- sensitivity
- threshold
- transponder
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