Abstract
This paper proposes a optimal method for designing frequency-invariant beamformers for circular arrays. First, the desired beampattern is expressed as a general complex-weighted form. Second, the weighting vectors at each frequency are accurately derived by approximating to the desired beampattern from the minimum mean square error perspective, all of which are found to be close-form functions of the desired complex weighting vectors. Third, a multiple optimization problem is formulated, and its solution gives the optimal desired weighting vector subject to different constraints. Finally, the weighting vectors at other frequencies can be directly computed based on the previously derived analytical functions. The proposed method provides flexible schemes to design different optimal frequency-invariant beamformers for circular sensor arrays. The good performance of the proposed method is demonstrated using simulations and experimental results.
| Original language | English |
|---|---|
| Title of host publication | OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538648148 |
| DOIs | |
| State | Published - 7 Jan 2019 |
| Event | OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 - Charleston, United States Duration: 22 Oct 2018 → 25 Oct 2018 |
Publication series
| Name | OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018 |
|---|
Conference
| Conference | OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 |
|---|---|
| Country/Territory | United States |
| City | Charleston |
| Period | 22/10/18 → 25/10/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Circular sensor array
- Frequency-invariant beamforming
- Multi-constraint optimization
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