Joint time-delay and frequency estimation using parallel factor analysis

Wu, Yuntao; So, Hing Cheung; Tan, Yonghong

doi:10.1016/j.sigpro.2009.03.004

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Reference [16] uses adaptive phase tracking to track the signal phase changes and estimates the phase difference using the difference between the two estimated values of the phase tracker, but it is difficult to estimate dynamic phase difference. Reference [17] uses adaptive delay compensation for the input signal. The compensated signal is aligned with the reference signal, and the delay compensation factor is calculated and corrected under the least mean square error criterion.…”

Section: Introductionmentioning

confidence: 99%

A Study on a Novel Inverted Ultra-Short Baseline Positioning System and Phase Difference Estimation

Liu

Qian

Guo

et al. 2023

JMSE

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Autonomous underwater vehicles (AUVs) are important tools for exploring and studying the ocean. To improve the stealthiness of AUV positioning, a new type of inverted ultra-short baseline (i-USBL) positioning system is proposed in this paper. The system uses a surface GPS buoy as a positioning base station to transmit positioning signals to the AUV, which receives the signals through the i-USBL and calculates its own coordinates. In this way, the power consumption of the AUV will be lower, improving its endurance. In addition, azimuth observation is one of the key observation quantities in ultra-short baseline positioning systems. Therefore, this paper derives two phase difference estimation algorithms for azimuth measurement, which are the Least Mean Square (LMS) algorithm and the Discrete Fourier Transform (DFT) algorithm. Simulation results show that when the signal-to-noise ratio (SNR) is less than or equal to 0 dB, the DFT algorithm has higher accuracy; when SNR is greater than or equal to 10 dB, LMS has slightly higher accuracy than DFT; however, DFT is more stable than LMS at all SNRs. When SNR is 20 dB, the maximum azimuth measurement error of LMS and DFT is 0.3301° and 0.2204°, respectively, which can meet the positioning accuracy requirements. The average running times of LMS and DFT are 0.085 s and 0.011 s, respectively, and LMS has a faster running speed. In summary, the LMS algorithm can be used for azimuth observation when the SNR is good, and DFT can be applied when the SNR is poor.

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Section: Introductionmentioning

confidence: 99%

A Study on a Novel Inverted Ultra-Short Baseline Positioning System and Phase Difference Estimation

Liu

Qian

Guo

et al. 2023

JMSE

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“…By exploring the spatial information of the sources, more robust pitch estimators have been proposed [10][11][12][13][14]. Most of those multi-channel methods are still mainly based on auto-correlation function-related approaches, however, although a few exceptions can be found in [15][16][17][18]. In direction-of-arrival (DOA) estimators, audio and speech signals are often modeled as broadband signal, and standard subspace methods such as MUSIC and ESPRIT are only defined for narrowband signal model, which then fail to directly operate on broadband signals [19].…”

Section: Introductionmentioning

confidence: 99%

Joint DOA and multi-pitch estimation based on subspace techniques

Zhang

Christensen

Jensen

et al. 2012

EURASIP J. Adv. Signal Process.

207

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In this article, we present a novel method for high-resolution joint direction-of-arrivals (DOA) and multi-pitch estimation based on subspaces decomposed from a spatio-temporal data model. The resulting estimator is termed multi-channel harmonic MUSIC (MC-HMUSIC). It is capable of resolving sources under adverse conditions, unlike traditional methods, for example when multiple sources are impinging on the array from approximately the same angle or similar pitches. The effectiveness of the method is demonstrated on a simulated an-echoic array recordings with source signals from real recorded speech and clarinet. Furthermore, statistical evaluation with synthetic signals shows the increased robustness in DOA and fundamental frequency estimation, as compared with to a state-of-the-art reference method.

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“…7.3. An implementation of the algorithm proposed by [64] was tested on a mixture of three sinusoids at different frequencies with delays of 1.7 seconds between sensors (Fig. 7.1).…”

Section: Results For Parafacmentioning

confidence: 99%

“…a ir b jr c kr + ε ijk changes in the relative contribution from one factor to another in all three domains so that no two factors in any domain are collinear. The PARAFAC model has been extended in [64] to incorporate any delays that may occur due to widely spaced sensors. In the simulations, time delays of greater than 1 second are assumed to be a threshold for using this widely spaced sensor model.…”

Section: Parafacmentioning

confidence: 99%

Blind source separation algorithms for mitigating co-channel interference and noise in wireless communication systems

Kattepur¹

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I would firstly like to thank my supervisor, Dr. Farook Sattar, for all the guidance, motivation and encouragement provided over the course of this research project. He has been an excellent mentor and has provided me with valuable insights into my research and intellectual growth. Grateful thanks also go out to Dr. Chong Meng Samson See who has guided me throughout this research. His broad visions for the direction of this thesis along with critical views about some of the core problems have improved the quality of my work significantly. I would also like to thank Dr. Boon Poh Ng who helped mediate the process of completing this thesis. Special thanks go out to my fellow Graduate students and collaborators Vinod, Anil, Vishwanath, Joni, Ayush, Jin Feng and Shang Kee. The conversations and discussions on all aspects of life (including politics, cricket, ethics, educational reforms and at times, signal processing) have made the past two years a memorable and enjoyable experience. Finally, I would like to thank my parents and brother for the encouragement and support given throughout my tenure as a Graduate student. "The heights by great men reached and kept were not attained by sudden flight, but they, while their companions slept, were toiling upward in the night."-Henry Wadsworth Longfellow.

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Joint time-delay and frequency estimation using parallel factor analysis

Cited by 6 publications

References 8 publications

A Study on a Novel Inverted Ultra-Short Baseline Positioning System and Phase Difference Estimation

A Study on a Novel Inverted Ultra-Short Baseline Positioning System and Phase Difference Estimation

Joint DOA and multi-pitch estimation based on subspace techniques

Blind source separation algorithms for mitigating co-channel interference and noise in wireless communication systems

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