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In this study, a new neural network algorithm is proposed for real-time multiple source tracking problem with cylindrical patch antenna array based on a previously reported modified neural multiple source tracking (MN-MUST) algorithm. The proposed algorithm, namely cylindrical microstrip patch array modified neural multiple source tracking (CMN-MUST) algorithm implements MN-MUST algorithm on a cylindrical...
A new neural network DOA estimation technique based on subarray beamforming is proposed. The proposed technique improves previously reported modified neural multiple source tracking algorithm (MN-MUST). MN-MUST algorithm has three stages, the new technique replaces the first two stages of it with a new beamforming stage based on subarrays. The whole direction of arrival angular region is divided into...
A neural network algorithm is implemented for beamforming problem. The cylindrical array with M directive MPA elements has a full coverage of 360deg. Considering the total angular coverage of 360deg in terms of 12 sectors of 30deg each and activating only some MPA elements in the related sector reduces the training set and increases the performance of the beamformer. Increasing the number of targets...
In this study cylindrical microstrip patch array modified neural multiple source tracking algorithm (CMN-MUST) is proposed. CMN-MUST implements previously reported modified neural multiple source tracking algorithm (MN-MUST). CMN-MUST algorithm uses the advantage of directive pattern of microstrip patch elements by considering only a part of array elements for a chosen sector. This reduces neural...
In this study a new neural network algorithm is proposed for real time multiple source tracking problem with cylindrical patch antenna array based on a previously reported Modified Neural Multiple Source Tracking Algorithm(MN-MUST). The proposed algorithm, namely Cylindrical Microstrip Patch Array Modified Neural Multiple Source Tracking Algorithm (CMN-MUST) implements MN-MUST algorithm on a cylindrical...
In smart antenna systems, mutual coupling between elements can significantly degrade the processing algorithms (H. Zhiyong et al., 2006). In this paper mutual coupling effects on modified neural multiple source tracking algorithm (MN-MUST) has been studied. MN- MUST algorithm applied to the uniform circular array (UCA) geometry for the first time. The validity of MN-MUST algorithm in the presence...
In recent years application of Neural Network (NN) algorithms in both target tracking problem and DoA estimation have become popular because of the increased computational efficiency This paper presents the implementation of modified neural network algorithm(MN-MUST) to the uniform circular dipole array in the presence of mutual coupling. In smart antenna systems, mutual coupling between elements...
The algorithm presented in this paper, namely the modified neural multiple source tracking algorithm (MN-MUST) is the modified form of the recently published work, a NN algorithm, the neural multiple-source tracking (N-MUST) algorithm, was presented for locating and tracking angles of arrival from multiple sources. MN-MUST algorithm consists of three stages that are classified as the detection, filtering...
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