Performance Optimization and Parameters Estimation for MIMO-OFDM Dual-functional Communication-radar Systems Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2210.06951
In dual-functional communication-radar systems, common radio frequency (RF) signals are used for both communication and detection. For better compatibility with existing communication systems, we adopt multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) signals as integrated signals and investigate the estimation performance of MIMO-OFDM signals. We first analyze the Cramer-Rao lower bound (CRLB) of parameters estimation. Then, transmit powers over different subcarriers are optimized to achieve the best tradeoff between transmission rate and estimation performance. Finally, we propose a more accurate estimation method which utilizes canonical polyadic decomposition (CPD) of three-order tensor to obtain the parameter matrices. Due to the characteristic of the column structure of the parameter matrices, we just need to use DFT / IDFT to recover the parameters of multiple targets. The simulation results show that the estimation method based on tensor can achieve performance close to CRLB and the estimation performance can be improved by optimizing the transmit powers.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2210.06951
- https://arxiv.org/pdf/2210.06951
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4306309706
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4306309706Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2210.06951Digital Object Identifier
- Title
-
Performance Optimization and Parameters Estimation for MIMO-OFDM Dual-functional Communication-radar SystemsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-28Full publication date if available
- Authors
-
Zhong Chen, Chunrong Gu, Lan Tang, Yechao Bai, Mengting LouList of authors in order
- Landing page
-
https://arxiv.org/abs/2210.06951Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2210.06951Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2210.06951Direct OA link when available
- Concepts
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Cramér–Rao bound, Orthogonal frequency-division multiplexing, MIMO, Computer science, Algorithm, MIMO-OFDM, Radar, Upper and lower bounds, Electronic engineering, Estimation theory, Mathematics, Telecommunications, Engineering, Beamforming, Mathematical analysis, Channel (broadcasting)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.communication | 13, 21 |
| abstract_inverted_index.compatibility | 18 |
| abstract_inverted_index.decomposition | 87 |
| abstract_inverted_index.characteristic | 100 |
| abstract_inverted_index.multiple-input | 25 |
| abstract_inverted_index.dual-functional | 1 |
| abstract_inverted_index.multiple-output | 26 |
| abstract_inverted_index.communication-radar | 2 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile |