scholarly journals A Low-Complexity Demodulation for Oversampled LoRa Signal

2021 ◽  
Author(s):  
Vincent Savaux
Keyword(s):  
Performance Analysis ◽  
Spread Spectrum ◽  
Fourier Transforms ◽  
Additive White Gaussian Noise ◽  
Low Complexity ◽  
Discrete Fourier Transforms ◽  
Rayleigh Channel ◽  
Nyquist Rate ◽  
Chirp Spread Spectrum ◽  
Demodulation Method

This paper deals with a method of demodulation for oversampled LoRa signal. The usual maximum likelihood (ML) based demodulation method for LoRa chirp spread spectrum (CSS) waveform is dedicated to signals sampled at Nyquist rate, whereas considering oversampled signals may improve the performance of the LoRa demodulation process. In this respect, when an oversampling rate (OSR) 2 is assumed, the method suggested in this paper consists in applying two demodulation processes to the even and odd samples of the oversampled LoRa signal, and then combining the results. This principle is then generalized to any OSR, and we show that the complexity of the method is low since it only involves discrete Fourier transforms (DFT). Moreover, a performance analysis in terms of symbol and bit error rate (SER and BER) is presented considering both additive white Gaussian noise (AWGN) and Rayleigh channel models. Simulations show the relevance of the method and the performance analysis as a gain of 3 dB is achieved by the demodulation at OSR 2 compared with OSR 1.

scholarly journals A Low-Complexity Demodulation for Oversampled LoRa Signal

2021 ◽  
Author(s):  
Vincent Savaux
Keyword(s):  
Performance Analysis ◽  
Spread Spectrum ◽  
Fourier Transforms ◽  
Additive White Gaussian Noise ◽  
Low Complexity ◽  
Discrete Fourier Transforms ◽  
Rayleigh Channel ◽  
Nyquist Rate ◽  
Chirp Spread Spectrum ◽  
Demodulation Method

This paper deals with a method of demodulation for oversampled LoRa signal. The usual maximum likelihood (ML) based demodulation method for LoRa chirp spread spectrum (CSS) waveform is dedicated to signals sampled at Nyquist rate, whereas considering oversampled signals may improve the performance of the LoRa demodulation process. In this respect, when an oversampling rate (OSR) 2 is assumed, the method suggested in this paper consists in applying two demodulation processes to the even and odd samples of the oversampled LoRa signal, and then combining the results. This principle is then generalized to any OSR, and we show that the complexity of the method is low since it only involves discrete Fourier transforms (DFT). Moreover, a performance analysis in terms of symbol and bit error rate (SER and BER) is presented considering both additive white Gaussian noise (AWGN) and Rayleigh channel models. Simulations show the relevance of the method and the performance analysis as a gain of 3 dB is achieved by the demodulation at OSR 2 compared with OSR 1.

Performance analysis of chirp spread spectrum system under mobility scenario

2020 ◽  
Vol 43 ◽  
pp. 101233
Author(s):  
Marwa Qaraqe ◽  
Saud Althunibat ◽  
Osamah S. Badarneh ◽  
Raed Mesleh
Keyword(s):  
Performance Analysis ◽  
Spread Spectrum ◽  
Chirp Spread Spectrum

Synchronization Steps for Low Complexity Chirp Spread Spectrum (CSS) Receivers

2021 ◽  
Author(s):  
Xiaofei Chen ◽  
Elettra Venosa ◽  
Frederic Harris
Keyword(s):  
Spread Spectrum ◽  
Low Complexity ◽  
Chirp Spread Spectrum

scholarly journals Reliable and Low-Complexity Chirp Spread Spectrum-Based Aerial Acoustic Communication

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 151589-151601
Author(s):  
Jihwan Lee ◽  
Chulyoung Kwak ◽  
Seongwon Kim ◽  
Saewoong Bahk
Keyword(s):  
Acoustic Communication ◽  
Spread Spectrum ◽  
Low Complexity ◽  
Chirp Spread Spectrum

Anti-jamming performance analysis of optimal chaotic spread spectrum sequences

2010 ◽  
Vol 30 (10) ◽  
pp. 2843-2845 ◽  
Author(s):  
Shi-biao HE ◽  
Dong-mei LUO ◽  
Cheng GU
Keyword(s):  
Performance Analysis ◽  
Spread Spectrum

Comparative Study on Spreading Codes

2017 ◽  
Vol MCSP2017 (01) ◽  
pp. 14-16
Author(s):  
Omprava Agasti ◽  
Sujatarani Raut ◽  
Shibashis Pradhan
Keyword(s):  
Communication Networks ◽  
Spread Spectrum ◽  
Cross Correlation ◽  
Additive White Gaussian Noise ◽  
Personal Communication ◽  
Spreading Codes ◽  
Personal Communication Networks ◽  
Transmission Data ◽  
Commercial Applications ◽  
Spread Spectrum Systems

In this paper, we studied on spreading code for wireless communication, their performance analysis, applications and its implementation. Spread-spectrum systems have found important commercial applications in CDMA cellular networks and wireless personal communication networks. Implementation is complex, mainly because spreading the baseband (by a factor that can be several orders of magnitude) forces the electronics to act and react accordingly, which, in turn, makes the spreading and dispreading operation necessary. In spread spectrum the transmission signal bandwidth is much higher than the information bandwidth. The signal occupies a bandwidth much larger than what is necessary to send the information in spread spectrum technology. CDMA uses unique spreading codes to spread the baseband data before transmission data. The performance of a CDMA system gets controlled by two types of interference, namely ISI and MAI which are the function of auto and cross correlation values of the spreading codes respectively. The existing codes using Additive White Gaussian Noise channel under multi-user has been compared with the Bit Error Rate(BER) performance.

scholarly journals Cell shape characterization and classification with discrete Fourier transforms and self-organizing maps

2017 ◽  
Vol 93 (3) ◽  
pp. 323-333 ◽  
Author(s):  
Fabian L. Kriegel ◽  
Ralf Köhler ◽  
Jannike Bayat-Sarmadi ◽  
Simon Bayerl ◽  
Anja E. Hauser ◽  
...  
Keyword(s):  
Cell Shape ◽  
Fourier Transforms ◽  
Self Organizing Maps ◽  
Discrete Fourier Transforms ◽  
Shape Characterization ◽  
Self Organizing
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