Optimization Method of Sparse Array Frequency and Steering Invariant Beamforming
| Autor: | Zili Xu, Weichuang Yu, Jing Lei, Xuewei Shi, Ao Cui, Peiyu He |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Beamforming
020301 aerospace & aeronautics Computer science 02 engineering and technology Beamwidth 030507 speech-language pathology & audiology 03 medical and health sciences symbols.namesake Fourier transform Compressed sensing Sparse array 0203 mechanical engineering symbols Invariant (mathematics) 0305 other medical science Algorithm Computer Science::Information Theory Sparse matrix |
| Zdroj: | 2020 15th IEEE International Conference on Signal Processing (ICSP). |
| DOI: | 10.1109/icsp48669.2020.9321015 |
| Popis: | The conventional beamforming optimization method cannot meet the requirements of constant beamwidth of spare array in different frequency and different beam pointing angles. In this paper, a frequency and steering invariant beamforming method based on compressed sensing (CSFSIB) is proposed. First, the array elements are extended virtually, the sparse signal obtained by virtual array is reconstructed by compressed sensing (CS) recovery algorithm. Then the Second-order cone programming (SOCP) method is used to calculate the weighted vector and optimize the steering invariant beamforming (SIB). Finally, frequency invariant beamforming (FIB) is designed based on inverse Fourier transform (IFT). Simulation results indicate that the proposed method can reduce the sidelobe level and save the number of array elements while keeping the mainlobe width constant. |
| Databáze: | OpenAIRE |
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