Modified Phase-Only Correlator with Kurtosis-Based Amplified-Noise Suppression

Zhou, Yuan; Guan, Yong Liang; Law, Choi Look

doi:10.1109/twc.2010.100510.100163

Cited by 16 publications

(16 citation statements)

References 16 publications

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“…As shown in the figure, the noise amplification is serious (up to 15.4 dB), which leads to a severe degradation of the recovery performance. In [3], a kurtosis-based scheme is proposed to mitigate the noise-amplification. The scheme is based on the fact that the kurtosis of a given distribution has a definite value.…”

Section: De-noising Schemementioning

confidence: 99%

“…Our scheme is compared with correlator peak detection and the modified phase-only correlator (MPOC) proposed in [3]. In the simulation, the received signal is sampled at the rate of 4=T c .…”

Section: Toa Estimationmentioning

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%

“…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]. Usually, the threshold based method is often used for UWB signal's TOA estimation [4] (and reference therein).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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: De-noising Schemementioning

confidence: 99%

Section: Toa Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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“…A received UWB signal can be approximated as a linear combination of scaled and delayed versions of the transmitted signal [13], [14]. This leads to the well-known convolution relationship, which, for discrete-time signal, is given by (1) where is the 'th sample of the transmitted signal, is the corresponding received signal sample, is the CIR 'th sample, and is a of sample noise that is assumed to be additive white Gaussian noise (AWGN) with zero mean and variance .…”

Section: Signal Modelsmentioning

confidence: 99%

Low-Sampling-Rate Ultra-Wideband Channel Estimation Using Equivalent-Time Sampling

Ballal

Al-Naffouri

2014

IEEE Trans. Signal Process.

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In this paper, a low-sampling-rate scheme for ultra-wideband channel estimation is proposed. The scheme exploits multiple observations generated by transmitting multiple pulses. In the proposed scheme, pulses are transmitted to produce channel impulse response estimates at a desired sampling rate, while the ADC samples at a rate that is times slower. To avoid loss of fidelity, the number of sampling periods (based on the desired rate) in the inter-pulse interval is restricted to be co-prime with . This condition is affected when clock drift is present and the transmitted pulse locations change. To handle this case, and to achieve an overall good channel estimation performance, without using prior information, we derive an improved estimator based on the bounded data uncertainty (BDU) model. It is shown that this estimator is related to the Bayesian linear minimum mean squared error (LMMSE) estimator. Channel estimation performance of the proposed sub-sampling scheme combined with the new estimator is assessed in simulation. The results show that high reduction in sampling rate can be achieved. The proposed estimator outperforms the least squares estimator in almost all cases, while in the high SNR regime it also outperforms the LMMSE estimator. In addition to channel estimation, a synchronization method is also proposed that utilizes the same pulse sequence used for channel estimation.

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Using wearable UWB radios to measure foot clearance during walking

Soh

Gunawan

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Foot clearance above ground is a key factor for a better understanding of the complicated relationship between falls and gait. This paper proposes a wearable system using UWB transceivers to monitor the vertical heel/toe clearance during walking. First, a pair of very small and light antennas is placed on a point approximating to the heel/toe of the foot, acting as a transmitter and receiver. Then, the reflected signal from ground is captured and propagation delay is detected using noise suppressed Modified-Phase-Only-Correlator (MPOC). The performance of the UWB-based system was compared with an ultrasound system for stationary movements. The experimental results show that an overall mean difference between these two systems is about 0.634mm with correlation coefficient value of 0.9604. The UWB-based system is then used to measure foot clearance during walking which shows promising results for gait events detection.

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Modified Phase-Only Correlator with Kurtosis-Based Amplified-Noise Suppression

Cited by 16 publications

References 16 publications

High Resolution TOA Estimation Based on Compressed Sensing

High Resolution TOA Estimation Based on Compressed Sensing

Low-Sampling-Rate Ultra-Wideband Channel Estimation Using Equivalent-Time Sampling

Using wearable UWB radios to measure foot clearance during walking

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