| Autor: |
Guimei ZHENG, Yuwei SONG, Guoping HU, Binbin LI, Dong ZHANG |
| Jazyk: |
English<br />Chinese |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Leida xuebao, Vol 9, Iss 5, Pp 908-915 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2095-283X |
| DOI: |
10.12000/JR20042 |
| Popis: |
Meter-wave radar has good anti-stealth performance. The waveform diversity of Multiple-Input Multiple-Output (MIMO) radar can result in a higher degree of freedom, which makes MIMO radar more advantageous in detection and parameter estimation. Therefore, meter-wave MIMO radar has been widely studied. The radar height measurement is one of the most important research problems of the meter-wave MIMO radar. The maximum likelihood and generalized multiple signal classification algorithms are effective for measuring the radar height. However, they feature heavy computation complexity. In this paper, a preprocessing method based on Block Orthogonal Matching Pursuit (BOMP) is proposed to reduce the computation. First, the received data of MIMO array are sparse-processed, and then, using a mathematical operation, they are transformed into a signal model suitable for the BOMP algorithm; then coarse angle estimation is obtained using a large search grid. The coarse angle estimation is taken as the initial value, and the MIMO radar beam width as the search range. The simulation results show that the proposed algorithm can effectively reduce the computation of the search-type height measurement algorithm. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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