Impulse Noise Mitigation in IR-UWB Communication Using Signal Cluster Sparsity

Sharma, Sanjeev; Gupta, Anubha; Bhatia, Vimal

doi:10.1109/lcomm.2017.2785848

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…Pulse-based sensing systems have been widely used for many sensing applications, such as location [17]- [20], target detection [21], [22] and imaging [23]- [26]. For communication systems, pulsed signals also have the advantages of low power consumption, high safety and high resistance against the narrowband interference [27]- [29]. Many modulation technologies, such as index modulation [30] and enhanced pulse position modulation [31], have been proposed for the high spectral efficiency and the low bit error rate (BER) of pulse-based communication systems.…”

Section: Introductionmentioning

confidence: 99%

Pulse-Based ISAC: Data Recovery and Ranging Estimation for Multi-Path Fading Channels

Cai

Chen

et al. 2023

IEEE Trans. Commun.

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Pulse-based integrated sensing and communication (ISAC) systems have the advantages of high ranging resolution and strong resistance to self-interference, compared with continuous wave (CW) based systems. However, for pulse-based ISAC systems, multi-path channels pose various challenges to data recovery and ranging by providing diversity gain for data recovery but incurring the interference to the identification of the first path in ranging. In this paper, we design a pulse-based ISAC receiver for multi-path channels. The designed receiver can obtain the diversity gain by correlating the received signal with the estimated template signal. Meanwhile, it can detect the arrival of the first path by using a threshold detection method based on a constant false alarm rate (CFAR). Furthermore, we extend the pulse-based ISAC design to a low-resolution analog-to-digital converter (ADC) scenario. A low-cost receiver design is provided for the pulse-based ISAC system that can recover data and estimate range simultaneously considering the non-linear effect caused by the low-resolution ADC. Simulation results show that compared with the generalized maximum likelihood (GML) based receiver, the proposed full-resolution pulse-based ISAC receiver has 1dB signal-to-noise ratio (SNR) loss in bit error rate (BER) and almost the same mean squared error (MSE) performance with the significantly reduced computational complexity. Also, compared with the full-resolution ISAC receiver, the ISAC receiver with 3-level quantization incurs only 0.8dB SNR loss in BER and 1dB SNR loss in MSE.

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Section: Introductionmentioning

confidence: 99%

Pulse-Based ISAC: Data Recovery and Ranging Estimation for Multi-Path Fading Channels

Cai

Chen

et al. 2023

IEEE Trans. Commun.

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“…In practice, the problem is more challenging as we need to sense the PUs signals affected by non-Gaussian noise and multi-path fading channels [16]. As described in [17], [18], when the presence of non-Gaussian noise occurs, due to the heavy tailed characteristic of its probability density function (P.D.F.) and/or amplitude fading, the performance of the optimized spectrum spectrum may decrease dramatically.…”

Section: Introductionmentioning

confidence: 99%

Spectrum Sensing With Non-Gaussian Noise Over Multi-Path Fading Channels Towards Smart Cities With IoT

Chen²,

Long

et al. 2021

IEEE Access

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As the limited communication spectrum can not meet the demand of the exponential growth of intelligent connected devices in the internet of things(IoT) and typical smart city applications, in this paper, we propose a tractable spectrum sensing method based on Rao detection over non-Gaussian noise, such as generalized Gaussian noise(GGN), Gaussian mixture noise(GMN) and symmetric alpha-stable distribution (SαS) noise, multi-path fading channels environment to alleviate the issue of spectrum scarcity. In this method, there are unknown parameters in the multi-path fading channels. When the probability density function (P.D.F.) of non-Gaussian noise has a closed-form expression, the spectrum sensing method based on Rao detection is used. Otherwise the P.D.F. for SαS noise is estimated firstly by using non-parametric kernel estimation method, which addresses the issue that SαS noise has no closed-form P.D.F. expression, and then the performance of spectrum sensing is derived based on the theory of Rao detection in multi-path fading channels over typical smart city applications. Simulation results show that the accuracy of estimated P.D.F. for SαS noise and the performance of spectrum sensing under different α values over indoor, outdoor, and vehicle fading channels environment.INDEX TERMS Spectrum sensing, non-Gaussian noise, multi-path fading channels, Rao detection, smart cities.

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“…Ultrawide band (UWB) technology is based on the transmission of UWB signals, which is contrarily to the narrow band systems . Thanks to its high data rate communication and low power consumption, UWB can be an appropriate choice for the wireless multimedia applications.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, there are many different applications in UWB communications, for instance, medical imaging, indoor positioning, wireless sensor networks, and body communication . UWB impulse radio with short pulses leads to high spatial resolution for indoor positioning.…”

Section: Introductionmentioning

confidence: 99%

Comparison of self‐adaptive dynamic differential evolution and particle swarm optimization for smart antennas in wireless communication

Chiu

Tong

Cheng

2019

Int J Communication

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In this paper, ultrawide band (UWB) communication systems with eight transmitting and receiving ring antenna arrays are implemented to test the bit error rate and capacity performance. By using the ray-tracing technique to compute any given indoor wireless environment, the impulse response of the system can be calculated. The synthesized beamforming problem can be reformulated into a multiobjective optimization problem. Self-adaptive dynamic differential evolution (SADDE) and particle swarm optimization (PSO) are used to find the excitation current and the feed line length of each antenna to form the appropriate beam pattern. This pattern can then reduce the bit error rate and increase the channel capacity and receiving energy. Numerical results show that the fitness value and the convergence speed by the SADDE are better than those by the PSO. Moreover, the SADDE had better results for both line-ofsight and nonline-of-sight cases. In other words, compared with PSO, SADDE has improved more effectively the main beam radiation energy and reduced the multipath interference.

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Impulse Noise Mitigation in IR-UWB Communication Using Signal Cluster Sparsity

Cited by 12 publications

References 20 publications

Pulse-Based ISAC: Data Recovery and Ranging Estimation for Multi-Path Fading Channels

Pulse-Based ISAC: Data Recovery and Ranging Estimation for Multi-Path Fading Channels

Spectrum Sensing With Non-Gaussian Noise Over Multi-Path Fading Channels Towards Smart Cities With IoT

Comparison of self‐adaptive dynamic differential evolution and particle swarm optimization for smart antennas in wireless communication

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