Blind adaptive receiver based on RLS-CMA for TH-UWB system

Kang, Xiaofei; Yang, Jiawei; Men, Shuo

doi:10.1016/s1005-8885(10)60120-3

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Expressing cost function in (11) in dual form as where s = W H x and using Wirtinger calculus, it is easy to derive the gradient of this cost function in the form where G ′ (s) = dG ds is the derivative of G , so the gradient descent update rule can be expressed as where µ denotes the step size. More efficient algorithms use second-order information about cost function.…”

Section: Background On Icamentioning

confidence: 99%

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Fast gradient algorithm for complex ICA and its application to the MIMO systems

Mika

2023

Sci Rep

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This paper proposes a new gradient-descent algorithm for complex independent component analysis and presents its application to the Multiple-Input Multiple-Output communication systems. Algorithm uses the Lie structure of optimization landscape and toral decomposition of gradient matrix. The theoretical results are validated by computer simulation and compared to several classes of algorithms, gradient descent, quasi-Newton as well as complex JADE. The simulations performed showed excellent results of the algorithm in terms of speed, stability of operation and the quality of separation. A characteristic feature of gradient methods is their quick response to changes in the input signal. The good results of the proposed algorithm indicate potential use in on-line applications.

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Section: Background On Icamentioning

confidence: 99%

“…In order to omit this drawback a lot of extensions for CMA have been introduced. For example Least-squares multi-user CMA 10 , Recursive least-squares CMA 11 , kurtosis-based method (MUT) 12 , CMA using Givens rotation 13 and Succesive interference cancellation least-squares CMA 14 .…”

mentioning

confidence: 99%

Fast gradient algorithm for complex ICA and its application to the MIMO systems

Mika

2023

Sci Rep

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“…where y 2N +1 (k) is the (2N + 1)th row of y(k). Therefore, by using ( 12), ( 13), ( 17) and ( 18), the Kalman filter-style state space model can be constructed as (20) where (19) and (20) are the system equation and observation equation of Kalman filter, respectively. A(k) is the state-transition matrix.…”

Section: Proposed Wl-ukf-cma Algorithm 31 Deriving Of Wl-ukf-cmamentioning

confidence: 99%

Widely linear UKF constant modulus algorithm for blind adaptive beamforming

Qian

Liu

Li³

et al. 2017

Journal of Systems Engineering and Electronics

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Based on a uniform linear array, a new widely linear unscented Kalman filter-based constant modulus algorithm (WL-UKF-CMA) for blind adaptive beamforming is proposed. The new algorithm is designed according to the constant modulus criterion and takes full advantage of the noncircular property of the signal of interest (SOI), significantly increasing the output signal-tointerference-plus-noise ratio (SINR), enhancing the convergence speed and decreasing the steady-state misadjustment. Since it requires no known training data, the proposed algorithm saves a large amount of the available spectrum. Theoretical analysis and simulation results are presented to demonstrate its superiority over the conventional linear least mean square-based CMA (L-LMS-CMA), the conventional linear recursive least square-based CMA (L-RLS-CMA), WL-LMS-CMA, WL-RLS-CMA and L-UKF-CMA.

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“…Traditional lighting control systems, such as wired control, are low efficient and not saving energy, resulting in waste of human and material resources. Nowadays, wireless RF technology has been successfully used in the area of environmental monitoring, smart home, urban transport and security testing and raised the attention of government, military, multinational enterprise and research institutions [1]. When applying the wireless RF technology into the lighting control systems, it can achieve energy-saving and improve the control efficiency.…”

Section: Introductionmentioning

confidence: 99%

The Research of Lighting Control System Based on NRF24L01 Wireless Network

Sun

2012

AMR

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Traditional lighting has many disadvantages, such as dispersed control, energy inefficacy, which could waste much of human and material resources. With people demands of controlling light source and saving energy, intelligent lighting become realistic with the help of RF and NC technologies. This paper designs an intelligent lighting control network using nRF24L01, and the network has set up in a lighting system experiment. This network make full use of the advantage of wireless sensor networks, it can be used in a variety of control systems to solve the problem of decentralized control. Compared with the traditional control mode, it would not only improve source utilization ratio, but also make better the lighting system management.

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Blind adaptive receiver based on RLS-CMA for TH-UWB system

Cited by 4 publications

References 9 publications

Fast gradient algorithm for complex ICA and its application to the MIMO systems

Fast gradient algorithm for complex ICA and its application to the MIMO systems

Widely linear UKF constant modulus algorithm for blind adaptive beamforming

The Research of Lighting Control System Based on NRF24L01 Wireless Network

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