Study on Channel Mismatch Estimation Method for GNSS Antenna Arrays

2012 ◽  
pp. 541-550 ◽  
Author(s):  
Feiqiang Chen ◽  
Junwei Nie ◽  
Shaojie Ni ◽  
Feixue Wang
Keyword(s):  
Antenna Arrays ◽  
Estimation Method ◽  
Channel Mismatch

scholarly journals Impact on Antijamming Performance of Channel Mismatch in GNSS Antenna Arrays Receivers

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Zukun Lu ◽  
Junwei Nie ◽  
Feiqiang Chen ◽  
Gang Ou
Keyword(s):  
Transfer Function ◽  
Global Navigation Satellite System ◽  
Antenna Arrays ◽  
Group Delay ◽  
Satellite System ◽  
Navigation Satellite ◽  
Amplitude Wave ◽  
Channel Mismatch ◽  
Global Navigation Satellite ◽  
The Impact

The performance of antijamming is limited by channel mismatch in global navigation satellite system (GNSS) antenna arrays receivers. Only when the amplitude and phase characteristics of each array channels are the same is the interference likely to be completely suppressed. This paper analyzes the impact on antijamming performance of channel mismatch. We built the model of channel mismatch and derived the impact on transfer function with space-time adaptive processor (STAP) of channel mismatch in theory. The impact factor of channel mismatch is proposed by the fuzzy transfer function, which could directly reflect the antijamming performance under channel mismatch. In addition, every characteristic in the channel mismatch model is analyzed. The analysis results show that the greatest impacts on antijamming performance are the range of amplitude wave and the group delay bias, while the influence of the number of amplitudes is next. As for the effect of group delay fluctuation is the smallest.

Blind adaptive channel mismatch equalisation method for GNSS antenna arrays

2018 ◽  
Vol 12 (4) ◽  
pp. 383-389 ◽  
Author(s):  
Zukun Lu ◽  
Huaming Chen ◽  
Feiqiang Chen ◽  
Junwei Nie ◽  
Gang Ou
Keyword(s):  
Antenna Arrays ◽  
Channel Mismatch ◽  
Blind Adaptive

scholarly journals Phase Spectrometry For High Precision mm-Wave DoA Estimation In 5G Systems

2021 ◽  
Author(s):  
Farzam Hejazi ◽  
Nazanin Rahnavard
Keyword(s):  
Phase Difference ◽  
Antenna Arrays ◽  
Estimation Method ◽  
Doa Estimation ◽  
Satellite Communications ◽  
Conventional Technique ◽  
Base Station ◽  
Frequency Code ◽  
Measure Phase Difference ◽  
Code Book

In this paper, we introduce a direction of arrival (DoA) estimation method based on a technique named phase spectrometry (PS) that is mainly suitable for mm-Wave and Tera-hertz applications as an alternative for DoA estimation using antenna arrays. PS is a conventional technique in optics to measure phase difference between two waves at different frequencies of the spectrum. Here we adapt PS for the same purpose in the radio frequency band. We show that we can emulate a large array exploiting only two antennas. To this end, we measure phase difference between the two antennas for different frequencies using PS. Consequently, we demonstrate that we can radically reduce the complexity of the receiver required for DoA estimation employing PS. We consider two different schemes for implementation of PS: via a long wave-guide and frequency code-book. We show that using a frequency code-book, higher processing gain can be achieved. Moreover, we introduce three PS architectures: for device to device DoA estimation, for base-station in uplink scenario and an ultra-fast DoA estimation technique mainly for radar and aerial and satellite communications. Simulation and analytical results show that, PS is capable of detecting and discriminating between multiple incoming signals with different DoAs. Moreover, our results also show that, the angular resolution of PS depends on the distance between the two antennas and the band-width of the frequency code-book. Finally, the performance of PS is compared with a uniform linear array (ULA) and it is shown that PS can perform the same, with a much less complex receiver, and without the prerequisite of spatial search for DoA estimation.

scholarly journals Phase Spectrometry For High Precision mm-Wave DoA Estimation In 5G Systems

2021 ◽  
Author(s):  
Farzam Hejazi ◽  
Nazanin Rahnavard
Keyword(s):  
Phase Difference ◽  
Antenna Arrays ◽  
Estimation Method ◽  
Doa Estimation ◽  
Satellite Communications ◽  
Conventional Technique ◽  
Base Station ◽  
Frequency Code ◽  
Measure Phase Difference ◽  
Code Book

In this paper, we introduce a direction of arrival (DoA) estimation method based on a technique named phase spectrometry (PS) that is mainly suitable for mm-Wave and Tera-hertz applications as an alternative for DoA estimation using antenna arrays. PS is a conventional technique in optics to measure phase difference between two waves at different frequencies of the spectrum. Here we adapt PS for the same purpose in the radio frequency band. We show that we can emulate a large array exploiting only two antennas. To this end, we measure phase difference between the two antennas for different frequencies using PS. Consequently, we demonstrate that we can radically reduce the complexity of the receiver required for DoA estimation employing PS. We consider two different schemes for implementation of PS: via a long wave-guide and frequency code-book. We show that using a frequency code-book, higher processing gain can be achieved. Moreover, we introduce three PS architectures: for device to device DoA estimation, for base-station in uplink scenario and an ultra-fast DoA estimation technique mainly for radar and aerial and satellite communications. Simulation and analytical results show that, PS is capable of detecting and discriminating between multiple incoming signals with different DoAs. Moreover, our results also show that, the angular resolution of PS depends on the distance between the two antennas and the band-width of the frequency code-book. Finally, the performance of PS is compared with a uniform linear array (ULA) and it is shown that PS can perform the same, with a much less complex receiver, and without the prerequisite of spatial search for DoA estimation.

scholarly journals Performance Analysis of MIMO-STBC Systems with Higher Coding Rate Using Adaptive Semiblind Channel Estimation Scheme

2014 ◽  
Vol 2014 ◽  
pp. 1-17
Author(s):  
Ravi Kumar ◽  
Rajiv Saxena
Keyword(s):  
Channel Estimation ◽  
Antenna Arrays ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Estimation Method ◽  
Block Codes ◽  
Mimo Antenna ◽  
Diversity Coding ◽  
Space Time Block Codes ◽  
Semiblind Channel Estimation

Semiblind channel estimation method provides the best trade-off in terms of bandwidth overhead, computational complexity and latency. The result after using multiple input multiple output (MIMO) systems shows higher data rate and longer transmit range without any requirement for additional bandwidth or transmit power. This paper presents the detailed analysis of diversity coding techniques using MIMO antenna systems. Different space time block codes (STBCs) schemes have been explored and analyzed with the proposed higher code rate. STBCs with higher code rates have been simulated for different modulation schemes using MATLAB environment and the simulated results have been compared in the semiblind environment which shows the improvement even in highly correlated antenna arrays and is found very close to the condition when channel state information (CSI) is known to the channel.

scholarly journals Phase Spectrometry For High Precision mm-Wave DoA Estimation In 5G Systems

2021 ◽  
Author(s):  
Farzam Hejazi ◽  
Nazanin Rahnavard
Keyword(s):  
Phase Difference ◽  
Antenna Arrays ◽  
Estimation Method ◽  
Doa Estimation ◽  
Satellite Communications ◽  
Conventional Technique ◽  
Base Station ◽  
Frequency Code ◽  
Measure Phase Difference ◽  
Code Book

In this paper, we introduce a direction of arrival (DoA) estimation method based on a technique named phase spectrometry (PS) that is mainly suitable for mm-Wave and Tera-hertz applications as an alternative for DoA estimation using antenna arrays. PS is a conventional technique in optics to measure phase difference between two waves at different frequencies of the spectrum. Here we adapt PS for the same purpose in the radio frequency band. We show that we can emulate a large array exploiting only two antennas. To this end, we measure phase difference between the two antennas for different frequencies using PS. Consequently, we demonstrate that we can radically reduce the complexity of the receiver required for DoA estimation employing PS. We consider two different schemes for implementation of PS: via a long wave-guide and frequency code-book. We show that using a frequency code-book, higher processing gain can be achieved. Moreover, we introduce three PS architectures: for device to device DoA estimation, for base-station in uplink scenario and an ultra-fast DoA estimation technique mainly for radar and aerial and satellite communications. Simulation and analytical results show that, PS is capable of detecting and discriminating between multiple incoming signals with different DoAs. Moreover, our results also show that, the angular resolution of PS depends on the distance between the two antennas and the band-width of the frequency code-book. Finally, the performance of PS is compared with a uniform linear array (ULA) and it is shown that PS can perform the same, with a much less complex receiver, and without the prerequisite of spatial search for DoA estimation.

scholarly journals Depolarizing Channel Mismatch and Estimation Protocols for Quantum Turbo Codes

Entropy ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. 1133 ◽  
Author(s):  
Josu Etxezarreta Martinez ◽  
Pedro M. Crespo ◽  
Javier Garcia-Frías
Keyword(s):  
Error Correction ◽  
Turbo Codes ◽  
Quantum Communication ◽  
Estimation Method ◽  
Estimation Techniques ◽  
Channel Mismatch ◽  
Channel Information ◽  
On Line ◽  
Depolarizing Channel ◽  
A Performance

Quantum turbo codes (QTC) have shown excellent error correction capabilities in the setting of quantum communication, achieving a performance less than 1 dB away from their corresponding hashing bounds. Decoding for QTCs typically assumes that perfect knowledge about the channel is available at the decoder. However, in realistic systems, such information must be estimated, and thus, there exists a mismatch between the true channel information and the estimated one. In this article, we first heuristically study the sensitivity of QTCs to such mismatch. Then, existing estimation protocols for the depolarizing channel are presented and applied in an off-line manner to provide bounds on how the use of off-line estimation techniques affects the error correction capabilities of QTCs. Finally, we present an on-line estimation method for the depolarizing probability, which, different from off-line estimation techniques, neither requires extra qubits, nor increases the latency. The application of the proposed method results in a performance similar to that obtained with QTCs using perfect channel information, while requiring less stringent conditions on the variability of the channel than off-line estimation techniques.

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