A method of indoor multi-path IR-UWB localization based on Bayesian compressed sensing

Wang, Ping; Ruan, Hao; Fan, Fuhua

doi:10.1109/icosp.2012.6491551

Cited by 5 publications

(2 citation statements)

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“…Usually, the threshold based method is often used for UWB signal's TOA estimation [4] (and reference therein). In [6] and [7] the authors employed the Compressed Sensing (CS) theory to process the low sampling rate UWB signal for TOA estimation. The spread spectrum signal is widely used for range estimation e.g., [2] since it provides good tradeoff between estimation accuracy and the processing complexity.…”

Section: Introductionmentioning

confidence: 99%

“…The signal used for TOA estimation can be ultra wide band (UWB) signal or spread spectrum signal, e.g., global positioning system (GPS) signal [2]. The UWB signal is able to provide high TOA estimation accuracy for its wide bandwidth [3][4][5][6][7]. However, due to its wide bandwidth, high sampling rate is needed to implement the coherent detection scheme for UWB signal [3].…”

Section: Introductionmentioning

confidence: 99%

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High Resolution TOA Estimation Based on Compressed Sensing

Wang

Liu

et al. 2015

Wireless Pers Commun

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This paper proposes a novel time of arrival (TOA) estimation method which achieves the sub-chip resolution. In this proposed method, the sparsity of the wireless channel is utilized to adopt the emerging technique of compressive sensing (CS) for accurate TOA estimation. The received signal is first processed to make the sensing matrix satisfy the restrict isometry property requirement of CS framework; then the signal samples with the amplified noise are removed to improve the recovery performance; finally, the dantzig selector method is used to recover the sparse channel for TOA estimation.

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Section: Introductionmentioning

confidence: 99%