An Efficient Channel Impulse Response Estimation Method for DS-CDMA Communications

2007 ◽  
Author(s):  
Mark J. Takatz ◽  
Rodger E. Ziemer
Keyword(s):  
Impulse Response ◽  
Estimation Method ◽  
Channel Impulse Response

A Novel Channel Estimation Method Based on Power-Delay Profile

2014 ◽  
Vol 602-605 ◽  
pp. 2871-2877
Author(s):  
Ying Xin Yu ◽  
Gang Wang
Keyword(s):  
Impulse Response ◽  
Estimation Method ◽  
Wiener Filter ◽  
Doppler Frequency ◽  
Estimation Algorithm ◽  
Wireless Channel ◽  
Least Square ◽  
Channel Impulse Response ◽  
Power Delay Profile ◽  
Mmse Estimation

Considering the physical layer specification of the IEEE802.11 protocol as background, a novel LSE (least square estimation) algorithm based on power-delay profile of wireless channel is proposed. In multi-path time-variant channel, receiver carries out a primary MMSE estimation using training symbols and pilots of OFDM symbol firstly. Then the channel impulse response is obtained from frequency response estimated by MMSE. Finally, LSE algorithm is applied to revise the channel impulse response according to the power-delay profile. The LSE algorithm can reduce the noise level of MMSE estimation in time-domain which is equivalent to increasing the SNR to the output of 2-D wiener filter. Simulation results confirm that the proposed LSE algorithm gains a better performance in contrast to MMSE algorithm. As the Doppler frequency shift increases, LSE outperforms more significantly than MMSE algorithm.

A Simplified Time-Domain Channel Estimation Approach for OFDM System

2015 ◽  
Vol 738-739 ◽  
pp. 1111-1114
Author(s):  
Sheng Bo Huang ◽  
Yu Cang Wen ◽  
Wen Ye ◽  
Tong Liang Fan
Keyword(s):  
Channel Estimation ◽  
Impulse Response ◽  
Time Domain ◽  
Estimation Method ◽  
Channel Impulse Response ◽  
Estimation Algorithms ◽  
Estimation Scheme ◽  
Time Domain Averaging ◽  
The Time Domain ◽  
Effective Channel

OFDM usually incorporates pilot tones in the frequency domain (FD) or training symbols in the time-domain (TD) to facilitate channel estimation algorithms. TD channel estimation becomes more attractive in quasi-static channels because channel estimation scheme will optimize the spectral efficiency by re-using the training symbols designated for FD channel estimation. A channel estimation method based on time domain averaging algorithm is proposed. Due to the principle of centralized energy in time domain, the effective channel impulse response length can be detected by setting of threshold for the estimated channel impulse response length. Computer simulation demonstrates the performance of the proposed algorithms in terms of bit error rate performance.

scholarly journals Channel Sounding for the Masses: Low Complexity GNU 802.11b Channel Impulse Response Estimation

2012 ◽  
Vol 11 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Dustin Maas ◽  
Mohammad H. Firooz ◽  
Junxing Zhang ◽  
Neal Patwari ◽  
Sneha K. Kasera
Keyword(s):  
Impulse Response ◽  
Low Complexity ◽  
Channel Impulse Response ◽  
Channel Sounding ◽  
The Masses

scholarly journals Detection of Incoherent Signal In Molecular Communication Based on Channel Impulse Response

2021 ◽  
Vol 2136 (1) ◽  
pp. 012039
Author(s):  
Shanchao Wen
Keyword(s):  
Impulse Response ◽  
Background Noise ◽  
Molecular Diffusion ◽  
Detection Algorithm ◽  
Channel Impulse Response ◽  
Molecular Communication ◽  
Computing Power ◽  
Traditional Scheme ◽  
Molecular Signal ◽  
The Moment

Abstract In order to solve the problem of intercode interference (ISI) and background noise caused by molecular diffusion in molecular communication, Honda analyzed and studied four methods to resist ISI signal, and analyzed the characteristics of the received signal at the moment. A reliable incoherent molecular signal detection algorithm independent of channel impulse response (CIR) is proposed, and an adaptive threshold calculation method is designed, and the theoretical value of bit error rate (BER) is given. The simulation results show that the proposed scheme BER is lower than the traditional scheme BER under the same computational complexity, so it has a wide application prospect in the nanoscale molecular communication system with limited computing power.

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