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Time-Frequency Multi-Invariance ESPRIT for DOA Estimation
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AI
DOI：10.1109/LAWP.2015.2473664.png)
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摘要
En 中文
In this letter, a new ESPRIT-type algorithm is presented for estimating the direction of arrival (DOA). We reconstruct the received signal to form a time-frequency (t-f) data model with a multi-invariance (MI) property, and then a t-f MI Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithm for DOA estimation is proposed. This algorithm constructs a spatial t-f distribution matrix in terms of variable temporal and frequency points and combines multiple subarrays rearranged from a uniform linear array (ULA) to estimate far-field narrowband signals. Considering the model of multiple narrowband chirp sources, simulation results illustrate that t-f MI-ESPRIT outperforms t-f ESPRIT and MI-ESPRIT under different signal-to-noise ratio (SNR) and snapshot numbers.
Keyword:
Direction-of-arrival (DOA) estimation
Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT)
multi-invariance (MI)
time-frequency (t-f)
期刊
IF:
4.8
论文数:
1.0W
被引数:
2.8W
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