期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 60, 期 -, 页码 -出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2021.3068143
关键词
Sensitivity; Microwave radiometry; Sensor arrays; Redundancy; Antenna measurements; Geometry; Reliability; Deterministic method; low-degradation linear array (LDLA); microwave interferometric radiometer (MIR); radiometric sensitivity; system reliability
类别
资金
- National Natural Science Foundation of China [61901244, 61901242, 41706204]
- China Postdoctoral Science Foundation [2019M660643, 2019M660640, 2020T130338]
This article proposes a deterministic method for designing low-degradation linear arrays, which takes advantage of the multiple-fold redundancy property of interferometric arrays' baseline coverage. The method can achieve satisfactory radiometric sensitivity with significantly low computational complexity.
Radiometric sensitivity is crucially important for microwave interferometric radiometers. To pursue optimum performance of radiometric sensitivity, the minimum-degradation arrays (MDAs) or low-degradation arrays (LDAs) are usually employed. In this article, we propose a deterministic method for designing low-degradation linear arrays (LDLAs), which exploits the multiple-fold redundancy property of baseline coverage (i.e., u-v coverage) of interferometric arrays and further devises analytical patterns for closed-form geometric construction. The proposed method can not only attain LDLAs with satisfactory radiometric sensitivity in significantly low computational complexity, given any number of sensor elements, but also has easy adoption on large array synthesis and configuration expansion scenarios. In addition, such analytically designed LDLAs also have the advantage of array robustness (or system reliability) in the sense of u-v coverage shrinking and ``hole'' occurrence (resulted from sensor failures). Numerical results are given to demonstrate the effectiveness of the proposed LDLA design method through comparison with stochastic algorithms based on heuristic search and combinatorial approaches uniting specific integer sequences, e.g., cyclic difference sets.
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