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Adaptive smart antenna arrays are used for cellular communication. This paper presents a comparative study of beamforming techniques for adaptive smart antenna using hybrid algorithms like Simple Matrix Inversion with Recursive Least Square (SMI-RLS) and Least Mean Square with Recursive Least Square (LMS-RLS) algorithm. The results are compared on the basis of null depth and error plot for different signal –to-noise (SNR) values, ranging from high to low values of SNR for heavily faded case..

In this paper, we studied to direction of arrival (DoA) estimation to use DoA and optimum weight algorithms in coherent interference channels. The DoA algorithm have been considerable attention in signal processing with coherent signals and a limited number of snapshots in a noise and an interference environment. This paper is a proposed method for the desired signal estimation using MUSIC algorithm and adaptive beamforming to compare classical subspace techniques. Also, the proposed method is combined the updated weight value with LCMV beamforming algorithm in adaptive antenna array system for direction of arrival estimation of desired signal. The proposed algorithm can be used with combination to MUSIC algorithm, linearly constrained minimum variance beamforming (LCMV) and the weight value method to accurately desired signal estimation. Through simulation, we compare the proposed method with classical direction of in order to desired signals estimation. We show that the propose method has achieved good resolution performance better that classical direction arrival estimation algorithm. The simulation results show the effectiveness of the proposed method.

In this paper, we have designed the patch array antennas with the slots capable of working in the E-band as the size of patch capable of operating in Ka-band. The slots inside the patch have the symmetry as the U-shaped slots. The designed array antennas have multi-mode characteristics at 77GHz. As a result, this paper is proposed the possibility of prototyping by design and analysis of microstrip array antennas 4×4 for automobile anti-collision system as using a typical FR-4 epoxy substrate.

본 논문은 W-CDMA 신호를 대상으로 3차원 적응 배열 안테나를 이용한 도래각 추정의 성능에 관한 것이다. 이를 위하여 5 가지의 3 차원 배열 안테나를 제시한 후 이들 안테나에 도래각 추정을 위한 알고리즘으로는 MUSIC을 공통으로 적용하였고, 이의 추정 성능을 위해서는 도래각 추정 오차를 이용하였다. 이동 통신과 무선 측위 서비스에서는 배열 안테나를 사용하여 방해 신호의 도래각을 추정한 후 공간 필터링하므로서 원하지 않는 방향으로부터의 방해 신호를 최소화 또는 널링시키고, 원하는 방향으로의 빔을 형성하므로서 수신 신호의 품질을 개선할 수 있다. 컴퓨터 시뮬레이션을 통해 안테나별 도래각 추정 결과와 신호대 잡음비와 방해 신호의 수와 전력에따른 도래각 추정 오차를 계산하였다. 시뮬레이션 결과 도래각 추정의 경우 Stack 3D 형을 제외한 나머지 3D 안테나가, 도래각 추정 오차의 경우 방해 신호의 수와 전력이 증가할때 Curved-B 형 안테나가 가장 우수함을 알 수 있었다.

This paper deals with the estimation performance DoA (Direction of Arrival) using the 3D adaptive array antenna in W-CDMA signal. For this, we proposed the 5 types of 3D array antenna, and appied for the MUSIC in order to the estimation of DoA algorithm for that antenna, commonly, then the DoA estimation error was used for the estimation performance. In the mobile communication and radio positioning service, performing the spatial filtering after the DoA estimation in array antenna, the quality of receiving signal can improve by the nulling or minimization of interfering signal which is from the undesired direction and the forming of beam which is from the desired direction. The result of DoA estimation and the DoA estimation error by varying the signal to noise ration and the number of interfering signal and power of each type antenna was calculated by computer simulation. As a result of simulation, the other propose antenna has good performance excluding the stack 3D antenna in DoA estimation and the Curved-B type antenna has more superior performance when increasing the number of interfering signal and power in the DoA estimation error.

본 논문에서는 multi-media service를 제공하는데 smart antenna system을 적용했을 때의 performance 를 각 서비스별 특성에 따라 평가한다. 서로 다른 다중 rate 의 신호가 각각의 안테나를 통해서 수신되는 환경 하에서 adaptive smart antenna를 적용함으로써 보다 고속이고 향상된 용량의 서비스를 제공할 수 있도록 하기 위해서는 사용자의 지리적 분포 또는 간섭 전력에 따라서 성능 특성이 달라지므로 이에 대한 성능 분석을 시뮬레이션을 통해서 수행한다.

This paper concerns with signal cancellation problem in a linearly constrained adaptive array processor in coherent environment. Alternate mainbeam nulling approach was proposed to prevent the signal cancellation phenomenon. The linearly constrained LMS algorithm with a unit gain constraint and that with a null constraint in the direction of the desired signal is alternately implemented to reduce the signal interaction between the desired signal and the interferences, which is the main cause of the signal cancellation. It is shown that the proposed method performs better than a conventional method.

본 논문에서는 adaptive array의 이론해석을 통해 antenna array의 물리적인 현상에 따른 비임폭과 지향 특성을 분석하였으며, 최대 신호대 잡음비 (maximum signal-to-rloise ratio) 알고리즘에 의한 array시스템 설계시 유용한 몇가지 요소들을 도출된 관계식과 37-elemellt 비임안테나의 시험 결과를 예로 들어 제시하고 있다. 본 논문은 또한 위성통신, 마이크로파 통신등에서 간섭신호 제거에 유용한 측엽 제거기법의 성능 특성을 표시하는 관계식을 새로이 도출하여 제시하고 있다.

This paper examines the array antenna theory, basic relations between the array size (aperture) and its beamwidth and resultant patterns. This paper also provides array antenna system design criteria, mainly maximizing the signal-to-noise ratio (SNR) and its corresponding optimum array structure and weight functions. Explicit new expressions for array performance are also illustrated in terms of the array output SNR. An example is provided for a 37-element planar array to explicitly illustrate the beam-forming and nulling operations of the array. Fundamentals of sidelobe canceller (SLC) systems have been discussed along with a derivation of new SLC equations for optimum weights.

In this paper, we propose a suboptimal receiver combining adaptive array antenna and orthogonal decision-feedback detector in DS/CDMA system. Adaptive array antenna can cancel out undesired signal using beamforming scheme. However, if there are interfering signals from undesired users with the same incident angle as that of a desired user, an adaptive array antenna cannot suppress them. The proposed receiver can cancel out remaining interference from users having nearly the same beam pattern. And we employ Orthogonal Decision-Feedback Detector (ODFD) as multiuser detection. The ODFD performs as good as the decorrelating decision -feedback detector (DDD) with much less complexity. Simulation results show that the proposed system provides a significantly enhanced performance.

In this study, the system level network simulation is considered with adaptive array antenna in CDMA mobile communication system. A network simulation framework is implemented based on IS-95A/B system to consider dynamic handoff, system level network behavior, and deploying strategy into the overall CDMA mobile communication network under adaptive array algorithm. Its simulation model, such as vector channel model, adaptive beam forming antenna model, handoff model, and power control model, are described in detail with simulation block. In order to maximize SINR of received signal at antenna, maximin algorithm is particularly considered, and it is computed at each simulation snap shot with SINR based power control and handoff algorithm. Graphic user interface in this system level network simulator is also implemented to define the simulation environments and to represent simulation results on real mapping system. This paper also shows some features of simulation framework and simulation results.

In this paper, capacity of a multicarrier DS/CDMA system is analyzed and simulated in a Nakagami fading channel. It is confirmed that the adaptive antenna array is a very efficient solution to enhance system capacity of a multicarrier DS/CDMA system. The results in this paper can be applicable to receiver design for the third and fourth mobile communication systems.

In this paper, we present a method to evaluate the BER performance of a coherent QPSK system using an adaptive array to eliminate CCI and demonstrate closed-form expressions for obtaining exact BER of the desired user for the case in which the time delays of all users are equal. The theoretical results are verified by computer simulation under the assumption that Least Mean Square beamforming algorithm is employed.

In this paper, performance of multicode DS/CDMA packet radio network with adaptive antenna array is analyzed and simulated in a multipath Rayleigh fading channel. The network performance is evaluated in terms of packet throughput. From the simulation results, it is confirmed that the adaptive antenna array is very effective in improving the packet throughput performance of the multicode DS/CDMA packet radio network. The results of this paper can be applied to design of IMT-2000 or future-generation mobile communication systems.

In this paper, an iterative subspace-based calibration algorithm for a CDMA-based antenna array in the presence of unknown gain and phase error is presented. The algorithm does not depend on the array geometry and does not require a prior knowledge of the Directions Of Arrival (DOA) of the signals. The method requires the code sequence of a reference user only. The proposed algorithm is based on the subspace method and root finding approach, and it provides estimates of the calibration vector, the DOA and the channel impulse response, by using the code sequence of a reference user. The performance of the proposed algorithm was investigated by means of computer simulations and was verified using field data measured through a custom-built W-CDMA test-bed. The data show that experimental results match well with the theoretical calibration algorithm. Also, teh study propose an efficient algorithm using the simulated annealing technique. This algorithm overcomes the requirement of initial guessing in the subspace-based approach.

Element failure occurs with high probability for every array used in the real world ; that is, it is a common phenomenon that there are one or more elements with no output. Element failure produces an elevated sidelobe level and fails to reject the interference signals in an adaptive beamformer. In this paper, we present the adaptive beamforming algorithm for array with element failure. The presented method minimizes the array output power subject to a set of linear constraints which maintain the frequency response in the look direction and force the weights of the inoperative elements to zero. Numerical results have been included.

<P>In this paper, an adaptive temperature control system for plant cultivation is proposed. The proposed method analyzes the internal temperature of red and blue LED arrays and determines the optimal fan speed for various temperature conditions. The adaptive control system is then implemented based on the analyzed data. Hence, the proposed system can better reduce the fan control power and noise than the conventional method. In the experimental results, the error between the simulation model and real system was at most 2.96%. The proposed method reduced the power consumption to 60% that of the conventional system when the target temperature was 38 degrees C.</P>

This paper proposes a novel lossless coding scheme for Bayer color filter array (CFA) images which are generally used as internal data of color digital cameras having a single image sensor. The scheme employs a block-adaptive prediction method to exploit spatial and spectral correlations in local areas containing different color signals. In order to allow adaptive prediction suitable for the respective color signals, four kinds of linear predictors which correspond to 2 ${\times}$ 2 samples of Bayer CFA are simultaneously switched block-by-block. Experimental results show that the proposed scheme outperforms other state-of-the-art lossless coding schemes in terms of coding efficiency for Bayer CFA images.

Maximum power point tracking (MPPT) under the partial shading condition is a challenging research topic for photovoltaic systems. Shaded photo-voltaic module result in complex peak patterns on the power versus voltage curve which can misguide classical MPPT algorithms. Thus, various kinds of global MPPT algorithms have been studied. These have typically consisted of partial shading detection, global peak search and MPPT. The conventional partial shading detection algorithm aims to detect all of the occurrences of partial shading. This results in excessive execution of global peak searches and discontinuous operation of the MPPT. This in turn, reduces the achievable power for the PV module. Based on a theoretical investigation of power verse voltage curve patterns under various partial shading conditions, it is realized that not all the occurrences of partial shadings require a global peak search. Thus, an intelligent partial shading detection algorithm that provides exact identification of global peak search necessity is essential for the efficient utilization of solar energy resources. This paper presents a new partial shading determinant algorithm utilizing adaptive threshold levels. Conventional methods tend to be too sensitive to sharp shading patterns but insensitive to smooth patterns. However, the proposed algorithm always shows superb performance, regardless of the partial shading patterns.

In moving jammer environments, the performance of conventional adaptive beamformer is severely degraded and the robust adaptive beamformer requires additional sensors to obtain desired performances. Therefore, it is necessary to develop efficient algorithm without any additional requirement of the number of sensors, etc. In this paper, we introduce a fast adaptive algorithm with variable forgetting factor, which does not have any additional requirements. From the computer simulations, we obtain the better performances than those of other techniques for the arrays with various aperture lengths.

본 논문에서는 주파수 영역 배열안테나의 계산량을 감소시키기 위한 센서링 부분적응 알고리듬을 제안한다. 제안한 알고리듬은 입력신호를 주파수 영역으로 변환한 후 CFAR(constant false alarm rate) 검파기법을 이용하여 간섭신호가 존재하는 주파수 대역을 찾아내고 이에 해당하는 가중치에 대해서만 적응 신호처리를 수행한다. 이때 CFAR 검파기의 오경보율은 출력신호의 전력 변화량을 이용하여 환경에 맞게 적응적으로 변화시켜서 최적 값으로 설정한다.