In this article, we investigate the problem of target localization with a multiple-input–multiple-output (MIMO) and frequency diverse array MIMO (FDA-MIMO) dual-mode radar system. The signal model for newly introduced system is presented in detail. On basis, computationally efficient method joint angle range estimation proposed by taking advantage subspace principle. First, direction-of-arrival (DOA) each determined utilizing fused data received via radar. order to solve coupling...

We recently proposed a direction-of-arrival (DOA) estimation method for the coexistence of uncorrelated and coherent signals, which is related to uniform linear antenna arrays with mutual coupling (MC) in presence unknown nonuniform noise. This technique, however, relies on assumption mixed signals not suitable scenarios purely signals. paper extends signal scenario one hand, other allows us directly adopt ESPPRIT algorithm perform DOA MC environments. To be specific, help least squares (LS)...

This paper presents a new continuous-time four-dimensional autonomous hyper-chaotic system based on the generalized augmented Lü system. can generate four-wing attractor over large parameter range. It possesses abundant dynamics characteristics. The existence of this is verified through theoretical analysis, numerical simulation and circuit implementation.

The perfectly partly calibrated antenna array is a frequently assumption in most of the existing gain/phase calibration methods. In practice, however, usually not available. this letter, tail optimization method for direction finding with unknown gains and phases presence spatially non-uniform noise proposed. Specifically, entry firstly merged into signal power by using sparse representation. Subsequently, that can significantly suppress occurrence pseudo-peaks designed to determine DOAs...

In this paper, a new method is proposed for direction-of-arrival (DOA) estimation of coherent signals with improved sparse representation in unknown spatially correlated Gaussian noise. To be specific, leveraging symmetric uniform linear array, the entries signal covariance matrix firstly recasted to eliminate Subsequently, it shown that an equivalent source vector can obtained by squaring any row noise-free matrix, irrespective coherency between signals. Finally, representation, which...

It is well known that classic direction-of-arrival (DOA) estimation techniques yield unsatisfactory performance with limited snapshots in unknown nonuniform noise. In this article, a sparse reconstruction (SR) DOA method combining vectorized and reduced signal covariance matrix (SCM) proposed. The new approach based on an improved rank-one correlation model for denoising. With extended virtual aperture array, technique able to provide high-resolution robust addition, two effective algorithms...

Abstract DOA estimation based on sparse representation in a non‐uniform noise environment is proposed using tail minimisation technique. The noise‐free covariance matrix modelled as diagonal and off‐diagonal components relating to incoming signals. In order combat coherent signals, the auto‐ cross‐correlation entries of incident signal are considered separately by least square (LS) criterion. Subsequently, from perspective difference co‐array vectorised obtained emulate received similar...

A novel method Interacting Multiple Mode Multi-Sensor Multi-target Multi-Bernoulli (IMM-MS-MeMBer) filter to track multiple maneuvering targets in low detection probability scenario is proposed. At the prediction stage of IMM-MS-MeMBer filter, model target adaptively updated by utilizing current measurement information, and then mixed state executed; update greedy multi-sensor partitioning strategy employed partition step, posterior density using divided set measurements filter; In addition,...

Range-ambiguous clutter suppression becomes a challenging task in the non-side-looking array due to existences of range ambiguity and dependence simultaneously. Frequency diverse (FDA) enables resolve ambiguity, however, it comes at cost transmitted gain loss as compared phased (PA). Therefore, by exploring integration between PA FDA, cooperated range-ambiguous method based on PA-FDA dual-mode radar is proposed this paper. First, covariance matrixes (CCMs) from different regions can be...

Graph Convolutional Neural Networks (GCNs) have performed well in many recommendation scenarios. In spite of this, models based on GCNs still face problems such as insufficient information mining and high complexity for some existing models. To address the above problems, we propose a Network Recommendation Based Community Detection Combination Multiple Heterogeneous Graphs (GCN-CMHG). This model uses community detection algorithm to detect communities user-item interaction heterogeneous...

A kind of composite modified asphalt with high elasticity was prepared by SBS and agent, the mixture easy compactness applied. The temperature, low water stability fatigue properties were evaluated laboratory tests. results show that optimum content agent is about 6% for asphalt. pavement performance high-elasticity compacting improved to a certain extent. Compared SMA-13, dynamic increased 13.5%. stability, temperature crack resistance 10.4%, 59.3% 173%.

This paper addressed the challenging problem of Multi-Object Tracking (MOT) without prior knowledge clutter rate and detection probability under limited Field View (FoV) radars, which will result in biased estimates. The robust filter is that cardinality Probability Hypothesis Density (CPHD) applied to adaptively learn profile. Moreover, track initiation FoV clearly inefficient due object birth intensity covering whole state space for multi-object. An adaptive trajectory Poisson...