FDA-MIMO-Based Integrated Multi-Target Sensing and Communication System with Complex Coefficients Information Embedding Article Swipe
Jiangwei Jian
,
Bang Huang
,
Wenkai Jia
,
Mingcheng Fu
,
Wen-Qin Wang
,
Qimao Huang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.02447
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.02447
The echo signals of frequency diverse array multiple-input multiple-output (FDA-MIMO) feature angle-range coupling, enabling simultaneous discrimination and estimation of multiple targets at different locations. In light of this, based on FDA-MIMO, this paper explores an sensing-centric integrated sensing and communication (ISAC) system for multi-target sensing. At the base station, we propose the FDA-MIMO-based spatial spectrum multi-target estimation (SSMTE) method, which first jointly estimates the angle and distance of targets and then estimates the velocities. To reduce the sensing computational complexity, the low-complexity spatial spectrum estimation (LCSSE) algorithm is proposed. LCSSE reduces the complexity without degrading the sensing performance by converting the joint angle-range search into two one-dimensional searches. To address the range ambiguity caused by frequency offset, a frequency offset design criterion (FODC) is proposed. It designs the integer and fractional components of the frequency offset to ensure the ambiguity distance exceeds the maximum sensing range, thereby alleviating parameters pairing errors. Moreover, the complex coefficients information embedding (CCIE) scheme is designed to improve system communication rates, which carries extra bits by selecting complex coefficients from the coefficient vector. The closed-form expressions for the bit error rate (BER) tight upper bound and the Cramér-Rao bound (CRB) are derived. Simulation results show that the proposed system excels in multi-target sensing and communications.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.02447
- https://arxiv.org/pdf/2409.02447
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403160153
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4403160153Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2409.02447Digital Object Identifier
- Title
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FDA-MIMO-Based Integrated Multi-Target Sensing and Communication System with Complex Coefficients Information EmbeddingWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-04Full publication date if available
- Authors
-
Jiangwei Jian, Bang Huang, Wenkai Jia, Mingcheng Fu, Wen-Qin Wang, Qimao HuangList of authors in order
- Landing page
-
https://arxiv.org/abs/2409.02447Publisher landing page
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https://arxiv.org/pdf/2409.02447Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2409.02447Direct OA link when available
- Concepts
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MIMO, Index (typography), Modulation (music), Electronic engineering, Computer science, Communications system, Remote sensing, Telecommunications, Engineering, Physics, Geography, Channel (broadcasting), Acoustics, World Wide WebTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.estimation | 17, 56, 84 |
| abstract_inverted_index.fractional | 130 |
| abstract_inverted_index.integrated | 36 |
| abstract_inverted_index.locations. | 23 |
| abstract_inverted_index.parameters | 148 |
| abstract_inverted_index.Cramér-Rao | 192 |
| abstract_inverted_index.alleviating | 147 |
| abstract_inverted_index.angle-range | 11, 102 |
| abstract_inverted_index.closed-form | 179 |
| abstract_inverted_index.coefficient | 176 |
| abstract_inverted_index.complexity, | 79 |
| abstract_inverted_index.expressions | 180 |
| abstract_inverted_index.information | 155 |
| abstract_inverted_index.performance | 97 |
| abstract_inverted_index.velocities. | 73 |
| abstract_inverted_index.coefficients | 154, 173 |
| abstract_inverted_index.multi-target | 43, 55, 206 |
| abstract_inverted_index.simultaneous | 14 |
| abstract_inverted_index.communication | 39, 164 |
| abstract_inverted_index.computational | 78 |
| abstract_inverted_index.FDA-MIMO-based | 52 |
| abstract_inverted_index.discrimination | 15 |
| abstract_inverted_index.low-complexity | 81 |
| abstract_inverted_index.multiple-input | 7 |
| abstract_inverted_index.communications. | 209 |
| abstract_inverted_index.multiple-output | 8 |
| abstract_inverted_index.one-dimensional | 106 |
| abstract_inverted_index.sensing-centric | 35 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |