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In order to break chaotic direct sequence spreading spectrum (cd3s) signals under the multipath fading channel, a particle filter based algorithm combining blind channel equalization with chaos.
This example shows how to use the lte toolbox™ to create a frame worth of data, pass it through a fading channel and perform channel estimation and equalization.
In this project, we analyze the performance of channel estimation and adaptive equalization in slow fading channel. Following the prompt from command line, you will see the three outputs which are the original image, received image, and ber curve.
Schemes which combine differential detection and blind equalization, to eliminate the need for phase recovery and training sequence, are studied. Decision feedback is also added in an attempt to equalize null and fading channels. Using godard and modified constant modulus algorithms (mcma) new systems are proposed by combining coherent and noncoherent detection with these two algorithms.
A suitable combination of the sis algorithm and the well-known kalman filter [14], termed the mixture kalman filter (mkf), has been succesfully applied to the problem of equalizing frequency nonselective fading channels [15], [16]. Blind equalization of frequency-selective channels using sis techniques has also been studied for orthogonal.
A gaussian mixture approach to blind equalization of block-oriented wireless communications. We consider blind equalization for block transmissions over the frequency selective rayleigh fading channel. In the absence of pilot symbols, the receiver must be able to perform joint equalization and blind c authors: frederic lehmann (eurasipmember).
It has been shown that blind adaptive equalization can significantly open the eye signals in multipath frequency selective fading channels. International foundation for telemeteringproceedings from the international telemetering conference are made available by the international foundation for telemetering and the university of arizona libraries.
29 jan 2004 a frequency selective rayleigh fading channel to test the sequence. Keywords: adaptive equalization, blind equalization, decision feedback.
Convex cost functions in blind equalization 1953 caused by the channel is the main impairment. Moreover, globally convergent finitely parametrized blind equalization algorithms are not known even in the absence of noise (except ‘in the case of minimum phase channels).
Fading might be reduced by utilizing receiver and transmit diversity [10], thereby enhancing the reliability of the transmission link. In diversity techniques [11], same data is transmitted across independent fading channels to avoid.
Blind equalization is a digital signal processing technique in which the transmitted signal is of the equalization filter, which is the inverse of the channel impulse response, rather than the estimation of the channel impulse respon.
Knowledge about the channel characteristics which is not known for most practical channels. Therefore, an efficient equalization algorithm is required for noncoherent detection. In this thesis, new structures which combine blind equalization with dif- ferential detection are presented.
153-7, 1996), for time-selective flat-fading channels, can be also profitably utilized for joint equalization and decoding of ofdm signals in the frequency domain.
Specifically, various configurations of blind equalizers and convolutional as tions in conjunction with a variety of blind channel equalization algorithms.
Gans on limits of wireless communications in a fading environment when using multiple antennas. Chambers on the surface characteristics of a mixed constant modulus and cross-correlation criterion for the blind equalization of a mimo channel.
Categories of channel equalization techniques, supervised (training) and blind unsupervised (blind) modes. We have studied the application of a new and specially modified neural network requiring very short training period for the proper channel equalization in supervised mode.
But if you want to use a blind equalizer, you don't need the channel estimator, because a blind equalizer doesn't need to know the channel coefficients. But once you have it, to perform equalization, you need to invert the channel impulse response, and you can do so using zf, for example.
The pulse shaping and multipath fading channel retain state information.
The performance is evaluated by simulation, allowing fair comparison with: the benchmark of equalized, coherent detection; a known blind system based on kalman filtering which employs channel tracking with delay; and for the flat fading case, an optimized pilot symbol assisted modulation (psam) system.
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