Fiber-optic interferometric sensors (FOISs) are widely used in seismometers, hydrophones, and gyroscopes. The arctangent approach of phase-generated carrier (PGC-Arctan) demodulation algorithm is one the key techniques FOISs. conventional PGC-Arctan requires specific value phase modulation depth C to work properly. However, will variate with laser wavelength, temperature, humidity actual working environment, which leads harmonic distortion even failure. In this paper, a novel PGC called...

Intra-pulse modulation recognition of radar signals is an important part modern electronic intelligence reconnaissance and support systems. With the increasing density signals, analysis processing multi-component have become urgent problem in current system. In this paper, intra-pulse approach for single-component dual-component proposed. First, order to adapt time-frequency energy distribution characteristics various we propose extract images (TFIs) received by Cohen class (CTFD) with...

In this paper, to solve the problem of low recognition rate existing approaches at signal-to-noise ratio (SNR), an intra-pulse modulation approach for radar signal is proposed. The identifies signals using techniques time-frequency analysis, image processing, and convolutional neural network (CNN). Through Cohen class distribution (CTFD), images (TFIs) received are extracted. order obtain high-quality TFIs signals, we introduce a new kernel function CTFD, which has stronger anti-noise...

Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar method based on convolutional denoising autoencoder (CDAE) and deep neural network (DCNN) proposed this paper. First, we use Cohen's time-frequency distribution to convert signals into images (TFIs). Then image preprocessing applied TFIs, including bilinear interpolation amplitude normalization. Next, design a CDAE denoise repair TFIs. Finally, Inception architecture identify the...

In this letter, we propose an enhanced nested array (ENA) configuration consisting of two uniform linear arrays (ULAs) with different separations and additional sensor, whose resulting difference co-array (DCA) is hole-free. As compared most the existing sparse configurations, proposed ENA has simple closed-form expressions for geometry degrees freedom (DOF), also can provide more consecutive DOF larger aperture. Based on above good properties ENA, compressive sensing (CS) approach employed...

Detection of urine sediment microscopic images human samples plays an important part in vitro examination. Doctors usually use automatic analyzer to assist manual examine. At present, analyzers mostly traditional method artificial feature extraction recognize images. However, image processing methods based on the selection and combination operators classifiers require a lot work subjective experience for engineers implementation process. It's also difficult deal with recognition tasks large...

This paper, for the very first time, introduces human sketches to landscape of XAI (Explainable Artificial Intelligence). We argue that sketch as a "human-centred" data form, represents natural interface study explainability. focus on cultivating sketch-specific explainability designs. starts by identifying strokes unique building block offers degree flexibility in object construction and manipulation impossible photos. Following this, we design simple explainability-friendly encoder...

In this letter, a novel sparse array consisting of coprime and nested subarrays is designed corresponding two-dimensional (2-D) direction arrival (DOA) estimation method presented. The proposed can be decomposed into two planar subarrays, each which consists some identical linear arrays (NLAs). Especially, the dense in these NLAs form prototype arrays. Then, by vectorizing covariance matrices, virtual are available, have much larger apertures than physical ones. Subsequently, 2-D spatial...

Principal component analysis (PCA)-based approach for user heading estimation using a smartphone in the pocket suffers from an inaccurate of device attitude, which plays central role both obtaining acceleration signals horizontal plane and ultimate global walking direction extraction. To solve this problem, we propose novel based on two unscented Kalman filters (UKFs) fusing inertial sensors landmarks. The first UKF is developed recalibration attitude estimation. We mathematically derive...

In array signal processing systems, the direction of arrival (DOA) and polarization signals based on uniform linear or rectangular sensor arrays are generally obtained by rotational invariance techniques (ESPRIT). However, since ESPRIT algorithm relies invariant structure received data, it cannot be applied to electromagnetic vector (EVSAs) featuring circular patterns. To overcome this limitation, a fourth-order cumulant-based is proposed in paper, for joint estimation DOA EVSA. The utilizes...

The cardinalized probability hypothesis density (CPHD) filter is an alternative approximation to the full multi-target Bayesian for tracking multiple targets. However, although joint propagation of posterior intensity and cardinality distribution in its recursion allows more reliable estimates target number than PHD filter, CPHD suffers from spooky effect where there exists arbitrary mass shifting presence missed detections. To address this issue Gaussian mixture (GM) implementation paper...

Accuracy performance of WiFi fingerprinting positioning systems deteriorates severely when signal attenuations caused by human body are not considered. Previous studies have proposed based on user orientation using compasses built in smartphones. However, always cannot provide required accuracy estimation due to the severe indoor magnetic perturbations. More importantly, we discover that only orientations but also smartphone carrying positions may affect greatly. Therefore, propose a novel...

Heading estimation using inertial sensors built‐in smartphones has been considered as a central problem for indoor pedestrian navigation. For practical daily lives, it is necessary heading to allow an unconstrained use of smartphones, which means the varying device carrying positions and orientations. As result, three special human body motion states, namely, random hand movements, position transitions, user turns, are introduced. However, most existing approaches neglect may render large...

This paper studies the dynamic estimation problem for multitarget tracking. A novel gating strategy that is based on measurement likelihood of target state space proposed to improve overall effectiveness probability hypothesis density (PHD) filter. Firstly, a measurement-driven mechanism this technique designed classify measurements. In mechanism, only measurements existing targets are considered in update step while newborn used exploring targets. Secondly, enables development heuristic...

In Bayesian multi-target tracking (MTT), knowledge of clutter intensity is required for effective state estimation. this paper, we propose an online filter that can operate under background with unknown intensity. Our solution based on the Poisson multi-Bernoulli mixture (PMBM) jointly estimating and rate. The rate modeled as Gamma distribution, consequently, derived PMBM recursion adapts remains closed. Moreover, adopt a Gibbs sampler to find finite number global hypotheses, then...

In inverse synthetic aperture radar (ISAR) imaging, the conventional range-Doppler (RD) algorithm cannot obtain satisfactory imaging results for sparse aperture. Compressed sensing (CS) methods, such as typical iterative shrinkage and thresholding (ISTA), are often used in imaging. However, CS-based methods have high computational complexity difficulty setting parameters. To overcome shortcomings, a new deep unfolding network named complex-valued weighted learning ISTA (CV-WLISTA) is...

In an inverse synthetic aperture radar (ISAR) imaging system for targets with complex motion, the azimuth echo signals of target are always modeled as multicomponent quadratic frequency modulation (QFM) signals. The chirp rate (CR) and (QCR) estimation QFM is very important to solve ISAR image defocus problem. For (multi-QFM) signals, conventional QR QCR algorithms suffer from cross-term poor anti-noise ability. This paper proposes a novel algorithm called two-dimensional product modified...

This paper presents an L-shaped sparsely-distributed vector sensor (SD-VS) array with four different antenna compositions. With the proposed SD-VS array, a novel two-dimensional (2-D) direction of arrival (DOA) and polarization estimation method is to handle scenario where uncorrelated coherent sources coexist. The are separated based on moduli eigenvalues. For sources, coarse estimates acquired by extracting DOA information embedded in steering vectors from estimated response matrix they...

The single‐sensor Poisson multi‐Bernoulli (MB) mixture (PMBM) filter has been developed for multi‐target tracking (MTT). However, there is a lack of research on the multi‐sensor (MS) extensions this filter. Because conjugate density PMBM hybrid form, which makes it difficult to extend directly using existing methods. In study, general MS MB based an measurement likelihood derived MS‐MTT. in posterior approximated as single after each update step. function designed partitioned measurements....

This paper presents a novel off-grid direction of arrival (DOA) estimation method to achieve the superior performance in compressed sensing (CS), which DOA problem is cast as sparse reconstruction. By minimizing mixed k-l norm, proposed can reconstruct source and estimate grid error caused by mismatch. An iterative process that minimizes norm alternately over two vectors employed so nonconvex solved alternating convex optimization. In order yield better reconstruction properties, block...

Artificial Intelligence Generated Content (AIGC) has shown remarkable progress in generating realistic images. However, this paper, we take a step "backward" and address AIGC for the most rudimentary visual modality of human sketches. Our objective is on creative nature sketches, that sketching should form an interactive process. We further enable text to drive sketch ideation process, allowing creativity be freely defined, while simultaneously tackling challenge "I can't sketch". present...