TOA Estimation using Music Super-Resolution Techniques for an Indoor Audible Chirp Ranging System

Farrokhi, Hamid

doi:10.1109/icspc.2007.4728487

Cited by 12 publications

(8 citation statements)

References 7 publications

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“…Different from non-coherent and coherent methods, the super-resolution method is used to detect the first path component in frequency domain, where a multiple signal classification (MUSIC) and independent component analysis (ICA) based method are proposed in [19] and [21], respectively. In [20], a MUSIC based super-resolution method to realize TOA estimation of acoustic chirps is proposed. However, it still needs to firstly estimate the channel impulse response (CIR) using the MF method.…”

Section: Introductionmentioning

confidence: 99%

TOA Estimation of Chirp Signal in Dense Multipath Environment for Low-Cost Acoustic Ranging

Zhang

Chen

Wang

et al. 2019

IEEE Trans. Instrum. Meas.

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In this paper, a novel time of arrival (TOA) estimation method is proposed based on an iterative cleaning process to extract the first path signal. The purpose is to address the challenge in dense multipath indoor environments that the power of the first path component is normally smaller than other multipath components, where the traditional matchfiltering (MF) based TOA estimator causes huge errors. Along with parameter estimation, the proposed process is trying to detect and extract the first path component by eliminating the strongest multipath component using a band-elimination filter in fractional Fourier Domain (FrFD) at each iterative procedure. To further improve the stability, a slack threshold and a strict threshold are introduced. Six simple and easily calculated termination criteria are proposed to monitor the iterative process. When the iterative 'cleaning' process is done, the outputs include the enhanced first path component and its estimated parameters. Based on these outputs, an optimal reference signal for the matchfiltering (MF) estimator can be constructed, and a more accurate TOA estimation can be conveniently obtained. The results from numerical simulations and experimental investigations verified that, for acoustic chirp signal TOA estimation, the accuracy of the proposed method is superior to those obtained by the conventional MF estimators.

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Section: Introductionmentioning

confidence: 99%

TOA Estimation of Chirp Signal in Dense Multipath Environment for Low-Cost Acoustic Ranging

Zhang

Chen

Wang

et al. 2019

IEEE Trans. Instrum. Meas.

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“…In this case, the peaks corresponding to LOS and the NLOS cannot be differentiated. A super-resolution technique based on MUSIC algorithm was implemented in [25,26,27]. The techniques based on MUSIC or matrix pencil [28] are computationally intensive as they involve the computation of each singular eigenvector and corresponding eigenvalue [27].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Path Compensation Method for Ranging in Wearable Ultrasonic Sensor Networks for Human Gait Analysis

Ashhar

Khyam

Soh

2019

Sensors

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Gait analysis in unrestrained environments can be done with a single wearable ultrasonic sensor node on the lower limb and four fixed anchor nodes. The accuracy demanded by such systems is very high. Chirp signals can provide better ranging and localization performance in ultrasonic systems. However, we cannot neglect the multi-path effect in typical indoor environments for ultrasonic signals. The multi-path components closer to the line of sight component cannot be identified during correlation reception which leads to errors in the estimated range and which in turn affects the localization and tracking performance. We propose a novel method to reduce the multi-path effect in ultrasonic sensor networks in typical indoor environments. A gait analysis system with one mobile node attached to the lower limb was designed to test the performance of the proposed system during an indoor treadmill walking experiment. An optical motion capture system was used as a benchmark for the experiments. The proposed method gave better tracking accuracy compared to conventional coherent receivers. The static measurements gave 2.45 mm standard deviation compared to 10.45 mm using the classical approach. The RMSE between the ultrasonic gait analysis system and the reference system improved from 28.70 mm to 22.28 mm. The gait analysis system gave good performance for extraction of spatial and temporal parameters.

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“…Some super-resolution methods [8] have been proposed for multipath delay estimation, such as multiple signal classification (MUSIC) algorithm [9,10]. However, its accuracy for dense time delay estimation is reduced.…”

mentioning

confidence: 99%

“…Small snapshots and low SNR are considered in the simulation experiments. To verify the delay estimation performance of the proposed algorithm in the multipath environment, the proposed CCF-SPICE algorithm is compared with the traditional MUSIC method [9], the general sparse optimisation method OMP [13], and the SPICE algorithm in the time domain (TD-SPICE) [14], and CRB bound. Fig.…”

mentioning

confidence: 99%

A sparse optimisation method based on cross‐correlation function for chirp signals

Wei

Liu

et al. 2021

Electronics Letters

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This letter proposes a novel time delay estimation method based on sparse optimisation of the cross‐correlation function to improve the estimation accuracy of delay parameters of chirp signals in multipath environments. In this method, the time delay estimation model is converted into a correlation‐function based model to estimate the parameter of exponent signals with frequency information, and the covariance matrix of such correlation function is solved by a sparse iteration optimisation algorithm abbreviated as CCF‐SPICE. Experimental simulations show that the proposed delay estimation algorithm has a sharper peak with less power leakage compared with the existing SPICE algorithm. Its performance is better than the SPICE algorithm and conventional MUSIC algorithm, especially under low SNR in multipath environments. The MSE performance of the proposed CCF‐SPICE algorithm is closer to Cramer–Rao bounds.

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TOA Estimation using Music Super-Resolution Techniques for an Indoor Audible Chirp Ranging System

Cited by 12 publications

References 7 publications

TOA Estimation of Chirp Signal in Dense Multipath Environment for Low-Cost Acoustic Ranging

TOA Estimation of Chirp Signal in Dense Multipath Environment for Low-Cost Acoustic Ranging

A Multi-Path Compensation Method for Ranging in Wearable Ultrasonic Sensor Networks for Human Gait Analysis

A sparse optimisation method based on cross‐correlation function for chirp signals

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