Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication
Abstract The joint design problem for the coexistence of multiple‐input multiple‐output (MIMO) radar and multi‐user multiple‐input‐single‐output (MU‐MISO) communication is investigated. Different from the conventional design schemes, which require defining the primary function, we consider designing...
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| Format: | Article |
| Language: | English |
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Wiley
2022-09-01
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| Series: | IET Signal Processing |
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| Online Access: | https://doi.org/10.1049/sil2.12110 |
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| author | Tong Wei Linlong Wu Bhavani Shankar Mysore Rama Rao |
| author_facet | Tong Wei Linlong Wu Bhavani Shankar Mysore Rama Rao |
| author_sort | Tong Wei |
| collection | DOAJ |
| description | Abstract The joint design problem for the coexistence of multiple‐input multiple‐output (MIMO) radar and multi‐user multiple‐input‐single‐output (MU‐MISO) communication is investigated. Different from the conventional design schemes, which require defining the primary function, we consider designing the transmit waveform, precoding matrix and receive filter to maximize the radar SINR and the minimal SINR of communication users, simultaneously. By doing so, the promising overall performance for both sensing and communication is achieved without requiring parameter tuning for the threshold of communication or radar. However, the resulting optimization problem which contains the maximin objective function and the unit sphere constraint, is highly nonconvex and hence difficult to attain the optimal solution directly. Towards this end, the epigraph‐form reformulation is first adopted, and then an alternating maximisation (AM) method is devised, in which the Dinkelbach’s algorithm is used to tackle the nonconvex fractional‐programing subproblem. Simulation results indicate that the proposed method can achieve improved performance compared with the benchmarks. |
| format | Article |
| id | doaj-art-62ae7cca546649d2b45c44a1cd529f9b |
| institution | Kabale University |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-62ae7cca546649d2b45c44a1cd529f9b2025-02-03T01:29:37ZengWileyIET Signal Processing1751-96751751-96832022-09-0116778879910.1049/sil2.12110Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communicationTong Wei0Linlong Wu1Bhavani Shankar Mysore Rama Rao2Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg LuxembourgInterdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg LuxembourgInterdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg LuxembourgAbstract The joint design problem for the coexistence of multiple‐input multiple‐output (MIMO) radar and multi‐user multiple‐input‐single‐output (MU‐MISO) communication is investigated. Different from the conventional design schemes, which require defining the primary function, we consider designing the transmit waveform, precoding matrix and receive filter to maximize the radar SINR and the minimal SINR of communication users, simultaneously. By doing so, the promising overall performance for both sensing and communication is achieved without requiring parameter tuning for the threshold of communication or radar. However, the resulting optimization problem which contains the maximin objective function and the unit sphere constraint, is highly nonconvex and hence difficult to attain the optimal solution directly. Towards this end, the epigraph‐form reformulation is first adopted, and then an alternating maximisation (AM) method is devised, in which the Dinkelbach’s algorithm is used to tackle the nonconvex fractional‐programing subproblem. Simulation results indicate that the proposed method can achieve improved performance compared with the benchmarks.https://doi.org/10.1049/sil2.12110concave programmingmatrix algebraprecodingradar receiversradiofrequency interferenceMIMO radar |
| spellingShingle | Tong Wei Linlong Wu Bhavani Shankar Mysore Rama Rao Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication IET Signal Processing concave programming matrix algebra precoding radar receivers radiofrequency interference MIMO radar |
| title | Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication |
| title_full | Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication |
| title_fullStr | Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication |
| title_full_unstemmed | Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication |
| title_short | Joint waveform and precoding design for coexistence of MIMO radar and MU‐MISO communication |
| title_sort | joint waveform and precoding design for coexistence of mimo radar and mu miso communication |
| topic | concave programming matrix algebra precoding radar receivers radiofrequency interference MIMO radar |
| url | https://doi.org/10.1049/sil2.12110 |
| work_keys_str_mv | AT tongwei jointwaveformandprecodingdesignforcoexistenceofmimoradarandmumisocommunication AT linlongwu jointwaveformandprecodingdesignforcoexistenceofmimoradarandmumisocommunication AT bhavanishankarmysoreramarao jointwaveformandprecodingdesignforcoexistenceofmimoradarandmumisocommunication |