Space-Time-Frequency Adaptive Processor Design for Ultra-Sparse Apertures

2006 ◽  
Author(s):  
Gary F. Hatke ◽  
Keith W. Forsythe ◽  
Andrew L. McKellips ◽  
Tri T. Phuong
Keyword(s):  
Space Time ◽  
Processor Design ◽  
Time Frequency ◽  
Adaptive Processor

scholarly journals Space-Time-Frequency Adaptive Processor for Multiple Interference Suppression in GNSS Applications

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Qiang Guo ◽  
Lian-gang Qi ◽  
Jianhong Xiang
Keyword(s):  
Interference Suppression ◽  
Satellite System ◽  
Space Time ◽  
Similar Frequency ◽  
Time Frequency ◽  
Weight Calculation ◽  
Global Navigation Satellite ◽  
Short Time ◽  
Multiple Interference ◽  
Adaptive Processor

To enhance the multiple interference suppression performance of global navigation satellite system (GNSS) receivers without extra antenna elements, a space-time-frequency adaptive processor (STFAP) is investigated. Firstly, based on the analysis of the autocorrelation function of the multicomponent signal, we propose a common period estimation and data block technique to segment the received signal data into blocks. Secondly, the signal data in each block are short-time Fourier transformed into time-frequency (TF) domain, and the corresponding TF points with similar frequency characteristics are regrouped to structure space-time-frequency (STF) data matrixes. Finally, a space-time-frequency minimum output power- (STF-MOP) based weight calculation method is introduced to suppress multiple interfering signals according to their sparse characteristics in TF and space domains. Simulation results show that the proposed STFAP can effectively combat more wideband periodic frequency-modulated (WBPFM) interferences even some of them arriving from the same direction as GNSS signals without increasing the number of antenna elements.

Improving Space-Time-Frequency MIMO-OFDM with ICI Self-Cancellation Scheme using Least Square Error Estimator

2015 ◽  
Vol 12 (1) ◽  
pp. 25
Author(s):  
Nur Farahiah Ibrahim ◽  
Zahari Abu Bakar ◽  
Azlina Idris
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Symbol Error Rate ◽  
Space Time ◽  
Least Square ◽  
Error Estimator ◽  
Frequency Diversity ◽  
Time Frequency ◽  
Mimo Ofdm ◽  
Subcarrier Mapping

Channel estimation techniques for Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) based on comb type pilot arrangement with least-square error (LSE) estimator was investigated with space-time-frequency (STF) diversity implementation. The frequency offset in OFDM effected its performance. This was mitigated with the implementation of the presented inter-carrier interference self-cancellation (ICI-SC) techniques and different space-time subcarrier mapping. STF block coding in the system exploits the spatial, temporal and frequency diversity to improve performance. Estimated channel was fed into a decoder which combined the STF decoding together with the estimated channel coefficients using LSE estimator for equalization. The performance of the system was compared by measuring the symbol error rate with a PSK-16 and PSK-32. The results show that subcarrier mapping together with ICI-SC were able to increase the system performance. Introduction of channel estimation was also able to estimate the channel coefficient at only 5dB difference with a perfectly known channel.

A Simple Space-Time-Frequency Block Code Scheme for Four Transmit Antennas

2012 ◽  
Vol 70 (4) ◽  
pp. 1363-1372
Author(s):  
Wei Song ◽  
S. P. Balakannan ◽  
Moon Ho Lee
Keyword(s):  
Block Code ◽  
Space Time ◽  
Code Scheme ◽  
Time Frequency
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