2006
DOI: 10.1109/tsp.2006.882112
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FSF MUSIC for Joint DOA and Frequency Estimation and Its Performance Analysis

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Cited by 94 publications
(55 citation statements)
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“…Simulation results show that I-MUSIC is close to the CRLB but does not reach the CRLB. This is due to the inherent shortcoming of the MUSIC algorithm as also discussed in [11]. However, I-C-MUSIC reaches the CRLB and is also computationally less complex, but it shows poorer performance at low SNR.…”
Section: Numerical Results and Discussionmentioning
confidence: 98%
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“…Simulation results show that I-MUSIC is close to the CRLB but does not reach the CRLB. This is due to the inherent shortcoming of the MUSIC algorithm as also discussed in [11]. However, I-C-MUSIC reaches the CRLB and is also computationally less complex, but it shows poorer performance at low SNR.…”
Section: Numerical Results and Discussionmentioning
confidence: 98%
“…In this section, a brief overview of the MUSIC-based CFO estimation algorithm is provided [11]. Next the proposed multiple CFO estimators, iterative-MUSIC (I-MUSIC) and iterative correlation-based-MUSIC (I-C-MUSIC) are outlined.…”
Section: Proposed Cfo Estimatorsmentioning
confidence: 99%
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“…On the other hand, we should also separate signals of similar frequency offsets/delays but different DOAs before we estimate the frequency offsets/delays. To put together these ideas, we construct an FAF tree structure which succinctly combines the parameter estimation and filtering processes [28][29][30][31]. The FAF contains two frequency offset/delay estimation and one angle selectivity estimation, as shown in Fig.…”
Section: Joint Estimation Of Frequency Offsets/delays and Angle Selecmentioning
confidence: 99%