Robust Channel Estimation via FFT Interpolation for Multicarrier Systems

2007 ◽  
Author(s):  
Xenofon G. Doukopoulos ◽  
Rodolphe Legouable
Keyword(s):  
Channel Estimation ◽  
Multicarrier Systems ◽  
Fft Interpolation

Frequency smoothing gains in preamble-based channel estimation for multicarrier systems

2013 ◽  
Vol 93 (9) ◽  
pp. 2777-2782 ◽  
Author(s):  
Dimitrios Katselis ◽  
Cristian R. Rojas ◽  
Mats Bengtsson ◽  
Håkan Hjalmarsson
Keyword(s):  
Channel Estimation ◽  
Multicarrier Systems

scholarly journals Frequency Domain Preamble-Based Channel Estimation and Equalization in LoRa

2021 ◽  
Author(s):  
Vincent Savaux ◽  
Patrick Savelli
Keyword(s):  
Channel Estimation ◽  
Frequency Domain ◽  
Minimum Mean Square Error ◽  
Least Square ◽  
Estimation Methods ◽  
Multicarrier Systems ◽  
Cyclic Property ◽  
Selective Channel ◽  
Channel Estimation And Equalization ◽  
Phase Equalizer

This paper deals with multipath channel estimation and equalization in LoRa. It is suggested to take advantage of the cyclic property of the symbols in the LoRa frame preamble to obtain an interference-free version of the symbols in the frequency domain. Then, estimation methods used in multicarrier systems can be applied, such as the least square (LS), and the minimum mean square error (MMSE) estimators. It is shown that the cyclic property in LoRa is inherently independent of the length of the channel, making these estimation techniques robust to any frequency-selective channel. In addition the frequency domain zero-forcing (ZF) equalizer is used, and an original phase equalizer is introduced, taking advantage of the constant modulus property of LoRa symbols in the frequency domain. The performance of the investigated estimators and equalizers is shown through simulations, and applications to the presented results are further discussed.

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