| Autor: |
Lichao Gao, Jin He, Yuanxin Wu, Wenxian Yu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 12, Pp 180301-180308 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2024.3496792 |
| Popis: |
Space-time adaptive processing (STAP) is a classic anti-interference algorithm for satellite navigation. In engineering applications, the number of time-domain taps of STAP not only determines the anti-jamming performance, but also determines the FPGA logic resource required for engineering implementation. In order to reduce application costs, it is urgent to predict the minimum number of time-domain taps required to achieve specified anti-interference indicators, so as to select the lowest cost FPGA chip. Unlike traditional dimensionality reduction algorithms such as Multistage Wiener Filter (MSWF), this paper proposes a method for determining the minimum number of time-domain taps without digital sampling data. To provide such a method, this paper construct an optimization problem and a solution method that determines the minimum number of time-domain taps based on the amplitude-frequency and phase-frequency characteristics of the specific receiver channels. Moreover, this method use interference to noise ratio (INR) to estimated minimum number of time-domain taps, which ensure the minimum number meet anti-interference performance. Finally, this paper verifies the effectiveness of the method through simulation by collecting amplitude-frequency and phase-frequency characteristics of 30 sets channels, and engineering test with three 2-element space time anti-jamming receivers. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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