2008
DOI: 10.1049/iet-rsn:20070102
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A comparative study of model selection criteria for the number of signals

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Cited by 38 publications
(11 citation statements)
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“…On the other hand, applying MUSIC presupposes knowledge of the exact number of targets. In real-world environments, where more objects beside the two overhead lines may be existing, additional estimating techniques could be required [10,11]. Even further signal processing as, for example, tracking of the overhead contact lines or range gating could be implemented to discriminate the overhead contact lines from other targets [12].…”
Section: Measurement Resultsmentioning
confidence: 99%
“…On the other hand, applying MUSIC presupposes knowledge of the exact number of targets. In real-world environments, where more objects beside the two overhead lines may be existing, additional estimating techniques could be required [10,11]. Even further signal processing as, for example, tracking of the overhead contact lines or range gating could be implemented to discriminate the overhead contact lines from other targets [12].…”
Section: Measurement Resultsmentioning
confidence: 99%
“…However, they show unsatisfactory performance in the SNR range below 5 dB when the number of targets is unknown. Correct detection of the number of sources is a major issue, as in [20] and [21] MUSIC and ESPRIT, for high-resolution parameter estimation. Thus, the number of sources is generally assumed to be known when the MUSIC or ESPRIT algorithm is simulated as in [22].…”
Section: Introductionmentioning
confidence: 99%
“…In many cases, the source number provided by special source number detection methods [8][9][10][11] is underestimated or overestimated. When the source number is underestimated, some signal eigenvectors are mixed in the noise subspace.…”
Section: Introductionmentioning
confidence: 99%
“…Different from other methods which focus on improving the calibration performance [15][16][17], source number estimating accuracy [8][9][10][11] and resolution of close signals in the snapshot deficient scenario [5,6], our purpose is to develop methods with high resolution and robustness in the presence of unknown source number, array error, snapshot deficient and low SNR. In [20], we have developed a simple but high resolution DOA estimating method with unknown source number, suitable for the snapshot deficient and low SNR scenario.…”
Section: Introductionmentioning
confidence: 99%