Abstract
Sub-band adaptive processing is a useful approach for real-time wideband adaptive beamformer, which converts a wideband problem to multiple narrow sub-band problems. Narrower bandwidth of sub-band has a better performance in wideband adaptive beamforming. However, narrow bandwidth results in large number of sub-bands, which increases computational complexity of the beamformer. In this paper, we analyse the effect of sub-bands number on the performance of wideband adaptive beamformer and propose a method to determine the minimal number of uniform sub-bands. By limiting the maximum sub-band beam pointing error to a quarter of half-power bandwidth (HPBW), we provide the accurate minimal number of sub-bands configuration for wideband adaptive beamformer with enough performance and low computational complexity. The numerical simulation results are presented to verify the effectiveness of the method we proposed.
| Original language | English |
|---|---|
| Pages (from-to) | 969-973 |
| Number of pages | 5 |
| Journal | IET Conference Proceedings |
| Volume | 2023 |
| Issue number | 47 |
| DOIs | |
| State | Published - 2023 |
| Event | IET International Radar Conference 2023, IRC 2023 - Chongqing, China Duration: 3 Dec 2023 → 5 Dec 2023 |
Keywords
- HPBW
- SUB-BAND DECOMPOSITION
- WIDEBAND ADAPTIVE BEAMFORMING
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