Return
Improved Channel Estimation for MIMO Interference Cancellation
DOI:10.1109/LCOMM.2015.2440240.png)
Abstract
En 中文
In this letter, a jamming resilient communication technique for unmanned aircraft vehicle (UAV) is proposed. Multiple-input multiple-output (MIMO) interference cancellation is exploited to combat reactive jamming. An improved channel estimation algorithm based on Kalman filter and basis expansion model (BEM) is used to track the quick changes of the combined channel components. Simulation results show that the performance of the proposed technique is significantly better than the existing jamming resilient communication technique.
Keywords:
Anti-jamming
Kalman filter
basis expansion model
multiple-input-multiple-output
orthogonal frequency-division multiplexing
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.4
Papers:
1.3W
Citations:
2.2W

