1. Efficient minimum blind area model for system and interference uncertainty
- Author
-
Yu Guo, Songhu Ge, and Jin Meng
- Subjects
adaptive signal processing ,array signal processing ,interference suppression ,Telecommunication ,TK5101-6720 ,Electricity and magnetism ,QC501-766 - Abstract
Abstract In the anti‐interference of broadband communication radio, interference cancellation performance is seriously affected by the uncertainty of the working frequency selection of the communication system and the direction of hostile interference. The closed‐form solution of the interference cancellation weight value and the signal‐to‐interference noise ratio after the cancellation are derived and simplified to clarify the factors affecting interference cancellation quality. Then, the efficient blind area criterion is established for the low computational complexity in view of cancellation quality, which combines the radio communication index and anti‐interference demand index. Based on this criterion, the minimum blind area model is proposed for robust performance. The experimental results in the auxiliary antenna spacing optimisation are consistent with the theoretical analysis, verifying the effectiveness of the proposed model in dealing with uncertain communication frequency and interference direction. It is very promising in communication interference cancellation.
- Published
- 2024
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