This letter discusses the problem of direction departure (DOD) and arrival (DOA) estimation for multi-input multi-output (MIMO) radar, derives a reduced-dimension multiple signal classification (MUSIC) algorithm therein. The proposed algorithm, which only requires one-dimension search, can avoid high computational cost within two-dimension MUSIC (2D-MUSIC) algorithm. We illustrate that has better performance ESPRIT very close to 2D-MUSIC Further our no pair matching. Simulation results...

In this study, the authors address problem of angle estimation in a bistatic multiple-input multiple-output (MIMO) radar. This study links to trilinear model, and then we derive decomposition-based algorithm, which can obtain automatically paired 2D estimation. The proposed algorithm requires no spectral peak searching or pair matching, it has better performance than conventional algorithms such as signal parameters via rotational invariance technique (ESPRIT) root multiple classification...

Small target detection is a challenging task in veryhigh-resolution (VHR) optical remote sensing imagery, because small targets occupy minuscule number of pixels and are easily disturbed by backgrounds or occluded others. Although current convolutional neural network (CNN)-based approaches perform well when detecting normal objects, they barely suitable for ones. Two practical problems stand their way. First, CNN-based not specifically designed the size (~15 ~10 extent). Second, no...

Direction of arrival (DOA) estimation for colocated multiple-input multiple-output (MIMO) radar is considered. An signal parameters via rotational invariance techniques (ESPRIT)-based DOA the MIMO using reduced-dimension transformation proposed to reduce complexity. The algorithm has very close angle performance conventional ESPRIT; also it slightly better than ESPRIT low SNR. Simulation results verify usefulness algorithm.

We investigate the topic for direction of departure (DOD) and arrival (DOA) estimation in bistatic multiple-input-multiple-output (MIMO) radar systems with exploitation array invariance. Several MUSIC-derived algorithms angle MIMO have been presented compared their complexity costs against that ESPRIT. The proposed scheme multi-invariance multiple signal classification (MI-MUSIC) has best performance also can be considered as a generalization MUSIC. Simulations verify collaborative...

The problem of direction departure and arrival estimation for multiple-input multiple-output (MIMO) radar is discussed, a reduced-dimension Capon algorithm derived. proposed which only requires one-dimension search, can avoid the high computational cost within two-dimension (2D-Capon) algorithm. It illustrated that has slightly better performance than 2D-Capon Simulation results verify usefulness

This paper discusses the problem of direction departure (DOD) and arrival (DOA) estimation for a bistatic multiple input output (MIMO) radar, proposes an improved reduced-dimension Capon algorithm therein. Compared with which requires pair matching between two-dimensional angle estimation, proposed can obtain automatically paired DOD DOA without debasing performance in MIMO radar. Furthermore, has lower complexity than algorithm, it is suitable non-uniform linear arrays. The analyzed...

Current scene classification for high-resolution remote sensing images usually uses deep convolutional neural networks (DCNN) to extract extensive features and adopts support vector machine (SVM) as classifier. DCNN can well exploit but ignore valuable shallow like texture directional information; SVM hardly train a large amount of samples in an efficient way. This paper proposes fast perception network (FDPResnet) that integrates Broad Learning System (BLS), novel effective learning system,...

A novel blind Direction of arrival (DOA) and polarization estimation method for polarization-sensitive uniform circular array is investigated in this paper. An analysis the received signal shows that has trilinear model characteristics, hence decomposition-based DOA sensitive proposed Our algorithm better performance. can be thought as a generalization ESPRIT, wider application than ESPRIT method. The useful behavior verified by simulations.

A simple and highly efficient rejection method is presented for generating Nakagami-m sequences with arbitrary average power fading factor. With a novel exponential decay hat function, the proposed method's efficiency up to 80% difference between theoretical simulated distribution curves are neglectable.

By taking into account moving scatterers and velocity variations of terminals, a non-stationary vehicle-to-vehicle (V2V) channel model under non-line-of-sight (NLoS) scenarios is proposed. Under 2D non-isotropic scattering scenarios, the closed-form expression time-variant temporal correlation function (TCF) for proposed derived analyzed. The general solution includes most existing results as special cases, i.e., stationary constant velocities or fixed scatterers. In addition, TCF has good...

This paper links the polarization-sensitive-array signal detection problem to parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics. Exploiting this link, it derives a deterministic PARAFAC algorithm. The proposed algorithm fully utilizes polarization, spatial temporal diversities, supports small sample sizes. does not require direction-of-arrival (DOA) information polarization information, so has blind robust characteristics. simulation results...

Based on the investigation to classical DOA algorithm (MUSIC and improved MUSIC), a novel estimation is proposed which makes full use of signal subspace noise characteristics. The can achieve not only but also information source power estimation. simulation result reveals that performance better than MUSIC MUSIC. In conditions coherent sources small snapshot as well low SNR, still present favorable performance. Besides, complexity this high, it easy carry out. So predominant robust.

In this article, we consider a computationally efficient direction of departure and arrival estimation problem for bistatic multiple-input multiple-output (MIMO) radar. The computational loads the propagator method (PM) can be significantly smaller since PM does not require any eigenvalue decomposition cross correlation matrix singular value received data. An improved algorithm is proposed to obtain automatically paired transmit receive angle estimations in MIMO has very close performance...

In this paper, we study systematic Luby transform (SLT) codes over binary input additive white Gaussian noise (BIAWGN) channels. To improve the bit-error-rate (BER) performance of SLT on BIAWGN channel, paper presents a novel optimization design degree distributions. First, apply approximation (GA) to analyze asymptotic BER and calculate overhead thresholds for successful decoding. Second, derive an approximate closed-form expression lower bound by applying GA further simplify in low high...

The direction of arrival (DOA) and amplitude‐phase (AP) source signal can be estimated through array processing, while the process information acquisition has not been described by theory yet. In this study, authors propose a novel spatial framework to describe DOA AP estimation process. Firstly, they give sensor system model, where is defined mathematically. Furthermore, in single scenario, derivations theoretical expression an asymptotic upper bound for are presented. It also proves that...

A novel algorithm has been proposed for joint time delay and frequency estimation of sinusoidal signals received at multiple separated sensors. The problem is linked to a trilinear model. Exploiting this link, it derives decomposition-based method algorithm. simulation results reveal that the performance close Cramer–Rao lower bound, even supports small sample sizes.

Deterministic blind beamforming algorithms try to separate superpositions of source signals impinging on electromagnetic vector sensor array by using deterministic properties the signals. This paper links electromagnetic-vector-sensor-array problem parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics. Exploiting this link, it derives a algorithm. The algorithm doesn't require DOA (direction arrival) information polarization information....

An improved algorithm on coherent direction-of-arrival (DOA) estimation is presented in this article, with the objective to overcome unsatisfactory performances of signal parameter via rotational invariance techniques (ESPRIT)-like algorithms (Han and Zhang, IEEE Antennas Wireless Propagation Letters 2005;4:443–446). On basis trilinear model by reconstructing a series Toeplitz matrix from co-variance array output, our proposed resolve DOAs signals, which not only has much better DOA...

This paper links joint direction of arrival (DOA) and frequency estimation problem to the trilinear model derives a novel blind angle algorithm.The proposed algorithm has better performance than ESPRIT algorithm.Our is thought as generalization ESPRIT.The useful behavior verified by simulations.

A novel generic fountain coding scheme for multiple access networks over erasure channels is proposed and it can be applied to several instances. Moreover, asymptotic analysis using And-Or tree technique evaluated an efficient joint optimization method employing linear nonlinear programs presented. Furthermore, selective distributed Luby Transform (SDLT) codes unequal error protection (UEP) are as two special cases. Simulation results reveal that the reduce decoding overhead provide strong...

In this paper, we study the mutual information in a radar system. Radar is target-detection system that uses echo signals to locate targets. Echo can provide sorts of about targets, such as range, azimuth, altitude, velocity, size and so on. employ thoughts methodologies Shannon's theory systematically establish an for presence complex Gaussian noise. Particularly, focus on targets' location amplitude-phase information. First, derive theoretical expression single target detection assuming...