Super-resolution TOA algorithm in multi-path environments
Li Jing
Abstract
Li Jing
Abstract
The location technology based on TOA (time of arrival) was analyzed, and the Min-Norm super-resolution spectral estimation algorithm in time-domain was introduced to the field of TOA estimation in frequency-domain. A cross-correlation based on Min-Norm super-resolution TOA algorithm was proposed. The algorithm can completely eliminate irrelevant noises in theory. The simulation results show that it is super-resolution and robust to noises and can achieve precise TOA estimation with a narrow bandwidth in noisy backgrounds.
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The location technology based on TOA (time of arrival) was analyzed, and the Min-Norm super-resolution spectral estimation algorithm in time-domain was introduced to the field of TOA estimation in frequency-domain. A cross-correlation based on Min-Norm super-resolution TOA algorithm was proposed. The algorithm can completely eliminate irrelevant noises in theory. The simulation results show that it is super-resolution and robust to noises and can achieve precise TOA estimation with a narrow bandwidth in noisy backgrounds.
Key concepts: Algorithm, Computer science, Bandwidth (computing), Time of arrival, Frequency domain, Time domain, Resolution (logic), Norm (philosophy)