Channel equalization and beamforming for quaternion-valued wireless communication systems

2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

2019

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Currently, most of existing research in direction of arrival (DOA) estimation is focused on single signal transmission (SST) based signal. However, to make full use of the degree of freedom provided by the system in the polarisation domain, the dual signal transmission (DST) model has been adopted more and more widely in wireless communications. In this work, a DOA estimation method for a mixture of SST and DST signals (referred to as the mixed signal transmission (MST) model) is proposed. To our best knowledge, this is the first time to study the DOA estimation problem for such an MST model. There are two steps in the proposed method, which deals with the two kinds of signals separately. The performance of the proposed method is compared with the Cramér-Rao Bound (CRB) based on computer simulations.

“…From (2), it can be learned that g m , m ∈ [1,3], is a column vector with two elements and Ω is a matrix with two columns. Then (18) and (19) can be changed to…”

Section: A Extension Of the Traditional Music Estimator To 4-dmentioning

confidence: 99%

“…For a DST signal, the two sub-signals have the same DOA but different polarizations. One DST example is to use two orthogonal linearly polarized signals with amplitude or phase modulation [18]- [20]. However, there has rarely been any research reported on estimating the DOAs of DST signals.…”

Section: Introductionmentioning

confidence: 99%

Direction Finding for a Mixture of Single-Transmission and Dual-Transmission Signals

Lan

2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

2019

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“…For the Q-Capon beamformer, the weight vector is calculated by For the proposed full Q-Capon beamformer, in addition to calculating R −1 , 32N 2 real multiplications are needed to calculate R −1 C and 32M 2 + 32M + 96 real multiplications for (C H R −1 C 0 ) −1 f. In total, the number of real-valued multiplications is 16 3 M 3 + 64M 2 + 272 3 M + 96, which is roughly half that of the Q-Capon beamformer.…”

Section: Complexity Analysismentioning

confidence: 99%

“…Since the output of a quaternion-valued beamformer is also quaternion-valued, only two components of the quaternion are used to recover the SOI, which leads to redundancy in both calculation and data storage. However, with the development of quaternion-valued communications [14][15][16], it is very likely that in the future we will have quaternion-valued signals as the SOI, where two traditional complex-valued signals with different polarisations arrive at the antenna array with the same DOA. In such a case, a full quaternion-valued array model is needed to compactly represent the four-component desired signal and also make sure the four components of the quaternion-valued output of the beamformer are fully utilised.…”

Section: Introductionmentioning

confidence: 99%

Fully Quaternion-Valued Adaptive Beamforming Based on Crossed-Dipole Arrays

Lan

2017

Electronics

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Based on crossed-dipole antenna arrays, quaternion-valued data models have been developed for both direction of arrival estimation and beamforming in the past. However, for almost all the models, and especially for adaptive beamforming, the desired signal is still complex-valued as in the quaternion-valued Capon beamformer. Since the complex-valued desired signal only has two components, while there are four components in a quaternion, only two components of the quaternion-valued beamformer output are used and the remaining two are simply discarded, leading to significant redundancy in its implementation. In this work, we consider a quaternion-valued desired signal and develop a fully quaternion-valued Capon beamformer which has a better performance and a much lower complexity. Furthermore, based on this full quaternion model, the robust beamforming problem is also studied in the presence of steering vector errors and a worst-case-based robust beamformer is developed. The performance of the proposed methods is verified by computer simulations.

“…From [9], [10], based on the instantaneous gradient result, the optimum solution w opt should satisfy…”

Section: B the Wiener Solutionmentioning

confidence: 99%

Study of wind profile prediction with a combination of signal processing and computational fluid dynamics

Jiang

2017 IEEE International Symposium on Circuits and Systems (ISCAS)

2017

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