Read PDF Adaptive Antennas and Receivers (Electrical and Computer Engineering)

Free download. Book file PDF easily for everyone and every device. You can download and read online Adaptive Antennas and Receivers (Electrical and Computer Engineering) file PDF Book only if you are registered here. And also you can download or read online all Book PDF file that related with Adaptive Antennas and Receivers (Electrical and Computer Engineering) book. Happy reading Adaptive Antennas and Receivers (Electrical and Computer Engineering) Bookeveryone. Download file Free Book PDF Adaptive Antennas and Receivers (Electrical and Computer Engineering) at Complete PDF Library. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Here is The CompletePDF Book Library. It's free to register here to get Book file PDF Adaptive Antennas and Receivers (Electrical and Computer Engineering) Pocket Guide.

Effects of multipath angular spread on the spatial cross-correlation of received voltage envelopes Durgin, G. Congestion control communication. Frequency allocation. Quality of service. Asynchronous transfer mode. Telecommunication traffic. Experimental test of a load model in the presence of harmonics Yan, H. Power transformers. Electric power systems. Industrial plants. More complete probability density functions for fading in mobile communications Durgin, G.

Probability density function. Fading radio. Multipath fading. Feedback control. Packet loss. Multiple access smart antenna techniques for narrowband communication systems Lu, I-T. Singular value decomposition.

Channel capacity. Bit error rate. Compensation and Redress. Novel reversible boost rectifier with unity power factor Shmilovitz, D. Insulated gate bipolar transistors IGBT. On implementation architecture for achieving QoS provisioning in integrated services networks Wu, D. Access control. Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise Pillai, U. Peer-to-peer low antenna outdoor radio wave propagation at 1. Performance of multiple description coders on a real channel Reibman, A. Data storage equipment.

Channel coding. Systems analysis.

Log in to Wiley Online Library

Power control. Code division multiple access. Simple criteria to evaluate converter dynamics suitability for operation in active power factor correction systems Shmilovitz, D. Networks circuits. Space-time processing for broadband multi-channel communication systems using smart antennas at both transmitter and receiver Lu, I-T.

Spread spectrum medium access protocol with collision avoidance in mobile ad-hoc wireless network Joa-Ng, M. Wireless ad hoc networks. Collision avoidance. Mobile ad hoc networks. Two-branch diversity simulation of the effects of non-zero signal correlation on average fade duration Kontogeorgakis, C. Rayleigh fading.

Dispersion in chiral optical fibres Qiu, R. For example, in a low interference environment, the adaptive antenna array may elect to use training symbol TRS I and its associated algorithm. In an environment with higher interference noise, the adaptive antenna array may elect to use training symbol TRS II and, depending on the noise and speed characteristics, Mode I narrowband interference, low or no speed , Mode II wideband interference, low or no speed or Mode III strong wideband interference, low, no or fast speed.

In an environment where the transmit or receive antenna is moving at a higher speed, with relatively little interference, the adaptive antenna array may select the pilot OFDM carrier symbols and associated algorithm for steering training purposes. Preferably, the adaptive antenna array continuously tracks its environment on an ongoing basis so that it can change its steering methodology if necessary when the interference characteristics and antenna speed change.

It will be appreciated that if the array antenna is to switch adaptively between the training symbols TRS I and TRS II, than an uplink should be provided to permit the receiver to provide feed back to the transmitter which training symbol TRS I or TRS II should be inserted at symbol slot 44 in the preamble of frame As indicated in block , FIG. As per block , in the event that the symbol which has been read is a Null Symbol 42 , the controller 22 determines the interference noise characteristics based on the FFT output of the OFDM receiver output As indicated above, such noise characteristics are used by the controller 22 to determine the appropriate steering algorithm to employ.

The calculated values are stored for future calculations, and the controller 22 then reads another symbol block As indicated in block , in the event that the symbol is an OFDM symbol, the array controller 22 performs, for each antenna branch 1 -M, a DFT on the carrier carrying the pilot symbols 46 in order to extract the pilot symbol prior to determining the mean power values. The normalization factor p o is then determined, and normalization carried out block As indicated in block , a minimum search manager function is then performed, and the optimal weight vector W opt calculated.

In particular, the minimum search manager function controls search and tracking of multi-minimums of the cost function blocks , In determining the optimum weight vector W opt , the array controller 22 takes into account at which point in the transmission frame 38 the weight vector is being calculated. As a result, no jumps from one local minimum to a different lower local minimum will occur during a single frame Rather, such jumps will occur only when transmission of a new frame 38 occurs in order that a steady channel property will be maintained.

Once the weight vector W opt has been calculated, the array controller 22 causes it to be applied to the incoming signal at complex weighting devices 24 block The controller 22 then returns to block to read another symbol and repeat the process described above. Although the process described in respect of FIG.

In such case, the preconfiguration would preferably be selected to provide suitable operation in the anticipated operating environment of the adaptive antenna array. It will be appreciated that the algorithms disclosed herein do not require any explicit knowledge of the array geometry, nor any array calibration. Although various embodiments are specifically illustrated and described herein, it will be appreciated that modifications and variations of the present invention are covered by the above teachings and within the purview of the appended claims without departing from the spirit and intended scope of the invention.

Effective date : Year of fee payment : 4. Year of fee payment : 8. Overview of Optimization Algorithm The adaptive antenna array 10 of the present invention uses an optimization algorithm to adaptively determine the appropriate weights to be applied to the signals received by the 1 st through M th antennas I claim: 1. A method for combining a plurality of antenna output signals, each antenna output signal being received from one of a plurality of branches fed from a corresponding plurality of antennas, each radio signal comprising a frame including a pseudo random training symbol and at least one data symbol, the method comprising:.

The method of claim 1 wherein the data symbol is a multicarrier modulated symbol. The method of claim 1 wherein the weighting factor for each branch is determined from an average power and power variance determined from the pseudo random training symbol.

The method of claim 1 wherein the weighting factors are determined by selecting from a plurality of possible values the weighting factors which, based on a predetermined cost factor, result in an optimal combination of high average power and low power variance determined from the pseudo random training symbol. The method of claim 1 wherein the training symbol includes a useful signal portion and a cyclic guard portion that is a replica of part of the useful signal portion, the method further including a step of separating training symbol information from interfering noise information based on autocorrelation properties of the training symbol.

The method of claim 1 wherein the radio signals occupy a pre-assigned bandwidth and the pseudo random training symbol has a bandwidth that is close to, but less than, the preassigned bandwidth. A radio frequency receiver including an antenna array device for combining signals received by a plurality of antennas in a communications system where the antennas receive data signals that include a pseudo random training symbol and at least one data symbol, the antenna array device comprising:.

The antenna array device of claim 8 wherein the array controller determines the weighting factor for each antenna based on an average power and power variance determined from the pseudo random training symbol. The antenna array device of claim 8 wherein the weighting factors are determined by selecting from a plurality of possible values the weighting factors which, based on a predetermined cost factor, result in an optimal combination of high average power and low power variance determined from the pseudo random training symbol.

The antenna array device of claim 8 wherein the data symbol includes a plurality of subsymbols each modulated on a separate subcarrier. The antenna array device of claim 8 wherein the data symbol is an OFDM symbol.

The antenna array device of claim 8 wherein the pseudo random training symbol includes a first pseudo random subsymbol and a second subsymbol that is substantially identical to the first subsymbol, the array controller being configured to separate training symbol information from interfering noise signal information based on autocorrelation properties of the training symbol.

The antenna array device of claim 8 wherein the data signals occupy a preassigned bandwidth and the pseudo random training symbol has a bandwidth that is close to, but less than, the preassigned bandwidth.

Adaptive Antennas and Degrees of Freedom - Lecture #1 - Alan Fenn

A method for steering an adaptive antenna array that includes a plurality of antennas in a communications system where the antennas receive and output data signals that include a training symbol and at least one data symbol, the training symbol including a first pseudo random subsymbol and a second subsymbol that substantially identical to the first subsymbol, the method comprising:. The method of claim 15 wherein the weighting factor for the signals received by each antenna are based on an average power and power variance determined from the separated training symbol information.

The method of claim 15 wherein the output data signals include a null symbol, the method including a step of measuring interfering signal characteristics during the null symbol and, based on the interfering signal characteristics, selecting which of a plurality of predetermined algorithms to use to determine the weighting factor for signals received by each antenna.

The method of claim 15 wherein the output data signals include a null symbol, the method including a step of measuring interfering signal characteristics during the null symbol, the weighting factor in step b being determined from power characteristics of the separated training signal information and the measured interfering signal characteristics. The method of claim 18 wherein the weighting factors are determined by selecting from a plurality of possible values the weighting factors which, based on a predetermined cost factor, result in an optimal combination of low average power during the null symbol and high average power and low power variance as determined from the pseudo random training symbol.

The method of claim 15 wherein the data symbol is an OFDM symbol. A method for combining a plurality of antenna output signals, each antenna output signal being received from one of a plurality of branches fed from a corresponding plurality of antennas, each radio signal comprising a plurality of OFDM symbols including a constant modulus pilot carrier, the method including:. The method of claim 21 wherein the weighting factor for each branch is determined from an average power and power variance determined from the constant modulus pilot carrier.

The method of claim 21 wherein the weighting factors are determined by selecting from a plurality of possible values the weighting factors which, based on a predetermined cost factor, result in an optimal combination of high average power and low power variance determined from the constant modulus pilot carrier.

Adaptive Antennas and Receivers - Google книги

The method of claim 21 wherein the output data signals include a null symbol, the method including a step of measuring interfering signal characteristics during the null symbol, the weighting factor in step a being determined from power characteristics of the constant modulus pilot carrier and the measured interfering signal characteristics. The method of claim 24 wherein the weighting factors are determined by selecting from a plurality of possible values the weighting factors which, based on a predetermined cost factor, result in an optimal combination of high average power and low power variance determined from the constant modulus pilot carrier and low average power of the null symbol.

CA CAC en EP EPA1 en Adaptive array antenna and method for reducing interference and multipath propagation in a OFDM wireless communication system. USB1 en. EPA1 en. CAC en. Smart antenna based spectrum multiplexing using existing pilot signals for orthogonal frequency division multiplexing OFDM modulations. Wireless packet switched communication systems and networks using adaptively steered antenna arrays.

Method for processing signal of adaptive array smart antenna in array smart antenna system. System and method for multiple-input multiple-output MIMO radio communication. Iterative multi-stage detection technique for a diversity receiver having multiple antenna elements. Method and apparatus for controlling array antenna, and computer-readable storage medium. System and method for transmit weight computation for vector beamforming radio communication.

Techniques for correcting for phase and amplitude offsets in a mimo radio device. Communicating signals according to a quality indicator using multiple antenna elements.

Electrical and Computer Engineering

Method and apparatus of using a single channel to provide acknowledgement and assignment messages. Wireless receiver and method for determining a representation of noise level of a signal. WOA1 en. Communication apparatus and communication method for a digital wavelet multicarrier transmission system. Communication apparatus and communication method using digital wavelet multi carrier transmission system. Multi-connection, non-simultaneous frequency diversity in radio communication systems. Fast frequency hopping with a code division multiplexed pilot in an ofdma system.

Multiple input multiple output orthogonal frequency division multiplexing mobile comminication system and channel estimation method. Frequency selective transmit signalweighting for multiple antenna communications systems. USB2 en. Compensation techniques for group delay effects in transmit beamforming radio communication.

Antenna adaptation method, communication terminal, device; module and computer program product. Systems and methods for interference cancellation in a multiple antenna radio receiver system. Weight calculation method, weight calculation device, adaptive array antenna, and radar device. Interference cancellation and receive diversity for single-valued modulation receivers. System, method and apparatus for mobile transmit diversity using symmetric phase difference.

Non-orthogonal frequency-division multiplexed communication through a non-linear transmission medium. Cancelling non-linear power amplifier induced distortion from a received signal by moving incorrectly estimated constellation points. Related Information. Close Figure Viewer. Browse All Figures Return to Figure. Previous Figure Next Figure. Email or Customer ID. Forgot your password?

State Government Links

Forgot password? Old Password. New Password. Password Changed Successfully Your password has been changed. Returning user. Request Username Can't sign in? Forgot your username? Enter your email address below and we will send you your username.