To solve the problem of insufficient number of check equation in the reconstruction of high order interfered scrambling code sequence, a reconstruction algorithm is proposed. Firstly, the check relationships based on ...
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The contrast function remains to be an open problem in blind source separation (BSS) when the number of source signals is unknown and/or dynamically changed. The paper studies this problem and proves that the mutual...
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The contrast function remains to be an open problem in blind source separation (BSS) when the number of source signals is unknown and/or dynamically changed. The paper studies this problem and proves that the mutual information is still the contrast function for BSS if the mixing matrix is of full column rank. The mutual information reaches its minimum at the separation points, where the random outputs of the BSS system are the scaled and permuted source signals, while the others are zero outputs. Using the property that the transpose of the mixing matrix and a matrix composed by m observed signals have the indentical null space with probability one, a practical method, which can detect the unknown number of source signals n, ulteriorly traces the dynamical change of the sources number with a few of data, is proposed. The effectiveness of the proposed theorey and the developed novel algorithm is verified by adaptive BSS simulations with unknown and dynamically changing number of source signals.
This paper has proposed a modified information embedding scheme for the integrated system of radar and communication without influence on the mainlobe. Exploiting the waveform diversity of multiple-input multiple-outp...
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Inverse synthetic aperture radar (ISAR) can form an image of the target with a sequence of wideband coherent observations, but it is generally difficult to generalize ISAR images from other directions. In this paper, ...
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By generalizing the learning rate parameter to a learning rate matrix, this paper proposes a grading learning algorithm for blind source separation. The whole learning process is divided into three stages: initial sta...
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By generalizing the learning rate parameter to a learning rate matrix, this paper proposes a grading learning algorithm for blind source separation. The whole learning process is divided into three stages: initial stage, capturing stage and tracking stage. In different stages, different learning rates are used for each output component, which is determined by its dependency on other output components. It is shown that the grading learning algorithm is equivariant and can keep the separating matrix from becoming singular. Simulations show that the proposed algorithm can achieve faster convergence, better steady-state performance and higher numerical robustness, as compared with the existing algorithms using fixed, time-descending and adaptive learning rates.
Space-time adaptive processing (STAP) has emerged as a key technology for improving the performance of radar systems required to operate in the presence of severe and dynamic interference which generally includes clut...
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ISBN:
(纸本)0780370112
Space-time adaptive processing (STAP) has emerged as a key technology for improving the performance of radar systems required to operate in the presence of severe and dynamic interference which generally includes clutter as well as jamming. While the theory of optimum STAP is well known, practical issues such as interference heterogeneity, finite sample support, mismatched signal models and computational load need to be overcome when it comes to implementing STAP in operational radar systems. This paper proposes an advanced STAP formulation which addresses important issues facing practical implementation and then tailors this general formulation for the case of interference rejection in over-the-horizon (OTH) radar to experimentally evaluate its target detection and localisation performance.
The standard Probability Hypothesis Density (PHD) filter requires manually presetting the detection probability before tracking. In addition, incorrect settings would lead to deterioration in filter performance. Beta ...
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Microwave photonics radar generates cross-band signals, which provides a basis for precise electromagnetic characteristics description and accurate identification of targets. As a result, a corresponding electromagnet...
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Because the traditional single-based spaceborne synthetic aperture radar (SAR) cannot receive signals while transmitting signals, there is a defect that high azimuth resolution and wide swath imaging cannot be achieve...
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Dual-satellite geolocation system is an effective passive location technique. This method can locate a stationary emitter on Earth by using time and frequency differences of arrival (TDOA/FDOA).In this paper, the rank...
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