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Showing 1 to 12 of 12 for “"Constant Modulus Algorithm"”.
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Simulation of Adaptive Array Algorithms for CDMA Systems
… performance of different blind adaptive array algorithms in the CDMA systems. Two novel algorithms, least-squares despread respread multitarget array (LS-DRMTA) and least-squares despread respread multitarget constant modulus algorithm (LS-DRMTCMA), are developed, and a MATLAB simulation …
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Equalization Techniques For Multipath Mitigation in Aeronautical Telemetry
… of adaptive equalization based on the constant modulus algorithm (CMA) and the decision-feedback minimum mean squared error (DF-MMSE) concept to the two compatible offset QPSK waveforms (FQPSK and SOQPSK-TG) that constitute the ARTM Tier-1 waveforms. An adaptive version of the DF-MMSE …
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Blind adaptive antenna arrays for mobile communications
… multipath, and noise. Blind adaptive algorithms, that is, algorithms which do not require a training sequence, are investigated and compared in this study. These algorithms are tested for common cellular signals. The performances of three blind adaptive algorithms: the Constant Modulus …
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Fast blind adaptive equalisation for multiuser CDMA systems
… Squares (LMS) and Recursive Least Squares (RLS) algorithms, or on blind adaptation, such as the Constant Modulus Algorithm (CMA) or the Decision Directed algorithm (DD), which has similar convergence properties as the LMS in the absence of decision errors, the CMA is relatively slow compared to …
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Direction of arrival estimation using antenna arrays
… study of various high resolution DOA estimation algorithms. The algorithms studied include subspace-based techniques such as the MUSIC (MUltiple Signal Classification) and ESPRIT (Estimation of Signal Parameters via Rotational Invariance) algorithm, and the integrated approaches which combine …
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Analysis and Development of Blind Adaptive Beamforming Algorithms
… the development and analysis of blind adaptive algorithms. An adaptive algorithm is said to be 'blind' if it does not require a known training sequence. The main focus is on application of these algorithms to adaptive antenna arrays in mobile radio communications. Adaptive antenna arrays can …
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Techniques and adaptation algorithms for direct-sequence spread-spectrum CDMA single-user detection
… redundancy. Commonly used trained adaptation algorithms for single-user detection are first presented, and are followed by newly proposed blind adaptation algorithms. These new blind algorithms are Griffiths’ algorithm, and the linearly constrained constant modulus algorithm (LCCMA ). Through …
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A CMA-FRESH Whitening Filter for Blind Interference Rejection
… blindly, through a property restoration algorithm which aims to drive the spectrum to white noise. The property restoration algorithm, inspired by the constant modulus algorithm (CMA), is applied to each frequency bin to determine the optimal coefficients for the proposed CMA FRESH …
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Fractionally Spaced Blind Equalizer Performance Improvement
… The most commonly used blind adaptation algorithm is the Constant Modulus Algorithm (CMA). It is shown by simulation that a logarithmic error equation can make CMA converge to a global minimum, if a differential encoding scheme is used. The performance of CMA with different error …
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Adaptive polarization mode dispersion equalizers for coherent optical communications systems
… adaptive electronic equalizers, based on the constant modulus algorithm (CMA) equalizers perform slightly better than the decision directed least mean square (DD-LMS) counterparts at links with larger PMD values, whereas the opposite holds true for the low PMD regime. Due to their …
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Blind multidimensional matched filtering for wireless channelswith multiple antennas
… on the other hand makes use of an adaptive algorithm, i.e. the Constant Modulus Algorithm (CMA), to estimate the channel without the need for an implementation inefficient approach as stated above. The BMF method assumes that the receiver utilizes channel matched filtering before the …
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Partial Update Adaptive Filtering
… consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity (O(N)) and simplicity in implementation. The least squares algorithms, such as Recursive Least Squares (RLS), Conjugate Gradient (CG), and Euclidean Direction Search (EDS), can …