A photonics-based radar with generation and de-chirp processing of broadband linear frequency modulated continuous-wave (LFMCW) signal in optical domain is proposed for high-resolution real-time inverse synthetic aperture (ISAR) imaging. In the system, a LFMCW generated by photonic quadrupler based on single integrated electro-optical modulator, echoes reflected from targets are de-chirped to low microwave mixer. The can operate at high large bandwidth, thus achieve an ultra-high range...

We develop a novel auction-based algorithm to allow users fairly compete for wireless fading channel. use the second-price auction mechanism whereby user bids channel, during each time slot, based on fade state of and that makes highest bid wins channel by paying second bid. Under assumption has limited budget bidding, we show existence Nash equilibrium strategy, leads unique allocation certain distribution, such as exponential distribution uniform over [0, 1]. For uniformly distributed...

This article is concerned with the problem of imperfect premise matching asynchronous H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> output tracking control for Takagi-Sugeno fuzzy Markov jump systems. A hidden model established due to fact that modes information system may not be accurately transmitted controller, which used depict phenomenon between and controller modes. The packet loss in communication process described by a...

Single-image super-resolution (SR) reconstruction via sparse representation has recently attracted broad interest. It is known that a low-resolution (LR) image susceptible to noise or blur due the degradation of observed image, which would lead poor SR performance. In this paper, we propose novel robust edge-preserving smoothing (REPS-SR) method in framework representation. An EPS regularization term designed based on gradient-domain-guided filtering preserve edges and reduce reconstructed...

This paper is devoted to the stability and stabilization for Takagi-Sugeno fuzzy systems with time-varying delays. First, an improved matrix inequality presented bound both strictly nonstrictly proper rational functions, which more general than existing versions of reciprocally convex lemmas. Second, by suitable operations on parameter-dependent polynomial multiplied state rate, a couple novel intermediary-polynomial-based functions (IPFs) are developed in delay-product types. Benefitting...

In this article, the iterative learning control (ILC) problem is investigated for a class of stochastic time-varying systems with variable pass lengths. The randomness lengths described by recursive interval Gaussian distribution, and modified iteration-average operator developed to construct novel ILC scheme overcoming limitation conventional algorithms that every must end in fixed time duration throughout repetition. proposed approach works effectively guarantee boundedness tracking...

Multifocus image fusion generates a single by combining redundant and complementary information of multiple images coming from the same scene. The combination includes more scene than any individual source images. In this paper, novel multifocus method based on extreme learning machine (ELM) human visual system is proposed. Three features that reflect clarity pixel are first extracted used to train ELM judge which clearer. clearer pixels then construct initial fused image. Second, we measure...

The location of temporary facilities in a construction project and the entire site layout plan directly affect objectives such as time, labor cost, material transportation handling. sites also affects entrainment factors energy consumption, carbon footprints, overall operation productivity. While planning has been intensively investigated from perspective, there have very few studies energy-efficiency-based planning, or sustainability performance layouts. This study developed green...

This article addresses the aperiodic sampled-data control problem for flexible spacecraft with stochastic actuator failures. Flexible dynamics are approximated by a group of T-S fuzzy models due to strong nonlinearity, and multi-stochastic failures depicted time-continuous state-discrete Markov chain. To reduce design conservativeness, membership-sampling-dependent Lyapunov-Krasovskii functional (MSDLKF) is introduced utilize information membership functions sampling modes. Furthermore,...

For a drag-free satellite, one core technology required to achieve the mission requirements is control. The purpose of control offset interference such as sunlight pressure, gravitational gradients Earth and Moon, nonspherical perturbation, etc. Currently, controller design mainly aimed at full frequency band. This will inevitably mix signal into scientific measurement signal, thereby interfering with processing data. Besides, band increase fuel consumption. To solve above problems, this...

The potential benefits of adopting PV (photovoltaic) in residential apartments China, such as reducing peak demand and electricity transmission issues, have been overlooked. Community is more applicable for most Chinese cities residents living apartment buildings. However, existing studies failed to provide comprehensive insight regarding factors influencing community adoption decision strategies. This study utilized a discrete choice experiment performed Wuhan examine individuals'...

Purpose This study aims to evaluate the effectiveness of different prefabricated construction (PC) policies using a case in Wuhan, considering local context. Design/methodology/approach The PC is falling behind expectations. main reason lies an insufficient understanding policy impacts. An agent-based model was built by choosing residential sector typical large city China, as case. Different cost reduction scenarios were introduced for investigating effectiveness. proposed and simulation...

In this letter, we propose a novel low-complexity detector for large MIMO systems, which is capable of achieving near-ML performance low order constellation (such as BPSK, 4-QAM). The main idea our algorithm to successively boost the detection by leveraging hidden sparsity in residual error received signal. Specifically, since symbol rate (SER) MMSE usually not high (say, less than 10%), error, difference between original transmitted signal and recovered one, would exhibit significant...

This paper presents a novel framework based on the non-subsampled contourlet transform (NSCT) and sparse representation (SR) to fuse multi-focus images. In proposed fusion method, each source image is first decomposed with NSCT obtain one low-pass sub-image number of high-pass sub-images. Second, an SR-based scheme put forward sub-images multiple scheme, joint dictionary constructed by integrating many informative compact sub-dictionaries, in which sub-dictionary learned extracting few...

Multifocus image fusion utilizes the clear parts of multiple images from same scene to generate a new image, which includes more information about than any individual source images. In this paper, multifocus method based on robust sparse representation (RSR) and an adaptive pulse-coupled neural network (PCNN) is presented. Each first decomposed with RSR obtain coefficients matrix residuals matrix. Second, spatial frequency calculated as motivation for PCNN neurons, salience map proposed...

A subspace method for channel estimation has been recently proposed [1] tackling the pilot contamination effect, which is regarded by some researchers as a bottleneck in massive MIMO systems. It was shown that if power ratio between desired signal and interference kept above certain value, received spectrum splits into eigenvalues, namely, "pilot contamination" effect can be completely eliminated. However, assumes an independently distributed (i.d.) channel, actually not much case practice....