Unconventional Array Design in the Autocorrelation Domain -- Isophoric 1D Thinning
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866915101999628288 |
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| author | Poli, Lorenzo Oliveri, Giacomo Anselmi, Nicola Benoni, Arianna Tosi, Luca Massa, Andrea |
| author_facet | Poli, Lorenzo Oliveri, Giacomo Anselmi, Nicola Benoni, Arianna Tosi, Luca Massa, Andrea |
| contents | The synthesis of thinned isophoric arrays (TIAs) radiating mask-constrained patterns is addressed. By leveraging on the recently-introduced formulation of the design of antenna arrays in the autocorrelation-domain (AD), the TIA synthesis is recast as the matching of a target autocorrelation function derived from the user-defined guidelines and objectives. By exploiting the autocorrelation invariance of cyclic binary sequences, the AD solution space is significantly reduced and it is efficiently sampled by means of a discrete hybrid optimization approach. Two possible implementations of the AD-based TIA formulation are discussed and assessed in a set of representative numerical examples concerned with both ideal and real radiators, which are full-wave modeled to account for the mutual coupling effects. Comparisons with traditional pattern-domain (PD) synthesis methods are also considered to point out the features and the advantages of AD-based approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_07583 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Unconventional Array Design in the Autocorrelation Domain -- Isophoric 1D Thinning Poli, Lorenzo Oliveri, Giacomo Anselmi, Nicola Benoni, Arianna Tosi, Luca Massa, Andrea Signal Processing The synthesis of thinned isophoric arrays (TIAs) radiating mask-constrained patterns is addressed. By leveraging on the recently-introduced formulation of the design of antenna arrays in the autocorrelation-domain (AD), the TIA synthesis is recast as the matching of a target autocorrelation function derived from the user-defined guidelines and objectives. By exploiting the autocorrelation invariance of cyclic binary sequences, the AD solution space is significantly reduced and it is efficiently sampled by means of a discrete hybrid optimization approach. Two possible implementations of the AD-based TIA formulation are discussed and assessed in a set of representative numerical examples concerned with both ideal and real radiators, which are full-wave modeled to account for the mutual coupling effects. Comparisons with traditional pattern-domain (PD) synthesis methods are also considered to point out the features and the advantages of AD-based approaches. |
| title | Unconventional Array Design in the Autocorrelation Domain -- Isophoric 1D Thinning |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2501.07583 |