In this paper, a new linear array configuration based on the concept of two-level nested is proposed. Specifically, proposed consists two uniform arrays (ULAs) plus separate sensor with appropriate spacing apart. Compared original array, degrees freedom our can be increased by 2L - 6 for an L physical sensors. Moreover, virtual aperture enlarged nearly (L <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> /2 2)d <sub...

Space-time adaptive processing (STAP) algorithms with coprime arrays can provide good clutter suppression potential low cost in airborne radar systems as compared their uniform linear counterparts. However, the performance of these is limited by training samples support practical applications. To address this issue, a robust two-stage reduced dimension (RD) sparsity-aware STAP algorithm proposed work. In first stage, an RD virtual snapshot constructed using all spatial channels but only m...

Remote sensing image classification is challenging due to low separation between different classes and difficulty in learning discriminative features. GAN (Generative Adversarial Model) promising for this task the generator reproducing samples discriminator improving generator. Among GANs variants translation tasks, Pix2Pix performs best. However, limited explicitly capturing relationship source domain reconstructed ones from target domain. To address above problem, an improved proposed...

A novel planar switched parasitic array antenna has been proposed for wireless communication. Compared with conventional antennas, this more compact structure and steered conical elevation pattern. Simulation measurement have carried out to validate the design. PIN diodes micro-controller unit (MCU) are used implement a beam switching system. Experimental results show that capacity provide switching.

Abstract Objectives To investigate the feasibility of a deep learning-accelerated T2-weighted turbo spin echo (TSE) sequence (T2 DL ) applied to female pelvic MRI, using standard TSE S as reference. Methods In total, 24 volunteers and 48 consecutive patients with benign uterine diseases were enrolled. Patients in menstrual phase excluded. T2 sequences three planes performed for each participant. Quantitative image evaluation was conducted by calculating signal-to-noise ratio (SNR)...

The design of an integrated sensing and communication (ISAC) waveform compatible with the 5G new radio (NR) system is crucial in enabling ISAC by utilizing hardware existing base stations (BSs). In this paper, we inner-frame time division multiplexed frame structure NR to achieve ISAC. designed computed simulated annealing algorithm on optimization cost function a constrained combination peak-to-sidelobe ratio (PSLR) sidelobe (ISLR) velocity ambiguity function. Specifically, constraints are...

Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures achievable degrees freedom with low cost. In this paper, different from traditional airborne radar uniform transmitting pulses, the considered is configured a array in receiver transmits pulses repetition intervals. Because sampling structure violates conditions conventional clutter rank estimation rules, we first propose novel method estimate based on...

Abstract Space‐time adaptive processing (STAP) for sparse arrays such as coprime and nested is shown to have improved performance clutter suppression in airborne radar compared with uniform linear the same size. However, most of existing STAP algorithms are derived based on assumption that array manifold exactly known. In this study, a robust algorithm presence gain phase (GP) errors proposed. particular, virtual space‐time signal GP first formulated using covariance matrix perturbed...

In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and pulse repetition interval (PRI). The considered configuration can significantly save the cost. However, direct STAP does not exploit advantage of large aperture brought by recently developed spatial-temporal smoothed-based requires number training snapshots. To solve these issues, propose using spacial-temporal sparsity clutter in virtual domain. Simulation results show that...

This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime sampling, which is realized by array and pulse repetition interval (PRI). Different from conventional STAP filters, proposed are derived three steps. Firstly, a virtual snapshot constructed using property of sampling. Secondly, an equivalent covariance matrix enhanced degrees freedom computed spatial-temporal smoothing approach. Thirdly, optimal based on...

Abstract Although individuals have different kinds of defensive strategies towards identity threat, the relationship between threat and unethical behavior is still unclear. In current study, according to self-affirmation theory, we propose test role publicness in determining whether will lead behavior. One online experiment with 197 participants (mixed design) one laboratory 86 (between-subject are used our hypotheses. Our findings reveal that when individuals' from public sphere, it...

Space-time adaptive processing (STAP) for airborne radar with co-prime arrays is shown to have excellent superiority compared traditional STAP uniform linear array radar. However, high arithmetic computational complexity and large amount of training data are required in this approach. This motivates the authors present a new approach which relatively low load fast convergence satisfactory performance. Specifically, reduced-dimension transformation Doppler domain incorporated into existing...

Abstract A new reduced‐rank (RR) space‐time adaptive processing (STAP) algorithm based on multistage selections of angle‐Doppler filters is proposed in the form a generalised sidelobe canceller. First, two types RR auxiliary are designed discrete Fourier basis functions. Then, novel method implemented to select by using cross‐correlation observed at current stage and residual output previous stage. Finally, asymptotic statistic performance target detection evaluated terms conventional...

Compressive sensing (CS) has proven to be an efficient technique for accelerating magnetic resonance imaging (MRI) acquisition through breaking the Nyquist sampling limit. However, CS measurements are often corrupted by noise in process, which greatly reduces quality of reconstructed images and deteriorates performance follow-up diagnosis tasks. In this paper, we propose a novel iterative shrinkage-thresholding (IST) method based on enhanced Laplacian-scaled shrinkage operation robust CS-MRI...

In recent years, floods in city have occurred frequently, causing great losses to the personal safety and property of dwellers. One main factors flood disasters is that garbage not cleaned up time, resulting blockage sewer manhole cover failure discharge sewage time. The daily inspection urban environment clean-up work are often powerless face enormous pressure sanitation work. Compared with relying on manual screening, real-time monitoring covers through road cameras, data will be fed back...

In this paper, a path planning method using k-means improved particle swarm algorithm, i.e., K-means-PSO is proposed to solve the high energy consumption problem in UAV cluster planning. By establishing model of multi-UAV flights and optimised function model, clustering algorithm used classify them into advantageous swarms disadvantageous based on fitness values, ant colony pheromone mechanism reverse update are perform position speed updates, respectively. Experimental results show that...