In this paper, a new method of measurement matrix optimization for compressed sensing based on alternating minimization is introduced. The optimal formulated in terms minimizing the Frobenius norm difference between Gram and target one. considers simultaneous mutual coherence indexes including maximum μmax, t-averaged μave global μall, solves problem that single index usually results deterioration others. Firstly, threshold shrinkage function raised to be higher than Welch bound relaxed...

When the extension state of non-ellipsoidal extended target (NET) changes, performance traditional multiple tracking algorithms based on constant number sub-objects will decrease. To solve this problem, paper proposes a gamma Gaussian inverse Wishart probability hypothesis density filter for targets with varying sub-objects, called VN-NET-GGIW-PHD filter. In proposed filter, each NET is considered as combination spatially close and label management introduced to realize association between...

This paper addresses the waveform design problem of cognitive radar for extended target estimation in presence signal-dependent clutter, subject to a peak-to-average power ratio (PAR) constraint. Owing this kind constraint and convolution operation time domain, formulated optimization maximizing mutual information (MI) between received signal is complex non-convex problem. To end, an efficient method based on minimization-maximization (MM) technique proposed. First, by using MM approach,...

From the beginning of industrial revolution to present Industry 4.0, manufacturing industry has been developing and upgrading continuously, which reflects a country's comprehensive competitive soft power, while PMI can reflect changing trend economy. In order control in real time, this paper proposes an AdaBoost regression prediction algorithm based on different classifiers. Firstly, authoritative data are collected. Then analyze visualize original data; split select K nearest neighbor,...

In recent years, AI technology has developed rapidly with the development of computer technology, especially help Big data, Internet, Internet Things, cloud computing, distributed computing and other technologies, so that use relevant algorithms can be applied to various industries. For example, in field robotics research, an important aspect is planning design motion paths for robots. Currently, there are problems low path efficiency imprecision. order solve problem robot planning, this...

This paper presents a wireless A/D acquisition system based on NRF24L01 and LABVIEW, which can be used to collect data in the harsh environment of industrial production, but staff not easily approach or persist field for long time. The mainly by transmission module module, conversion part chip using STM32C8T6 own ADC. computer uses LABVIEW as host display processing. has stable operation, distance, accurate transmission, no loss data, adapted various control measurement situations through...

This paper addresses the waveform design problem to estimate target impulse response (TIR) of temporally correlated extended in a cognitive radar, subject detection constraint and peak-to-average power ratio constraint. Owing these types constraints convolution operation time domain, formulated optimization for minimizing mean square error estimated TIR based on Kalman filtering is complex non-convex problem. To this end, an auxiliary variable first introduced modify original problem,...

This study addresses the low‐peak‐to‐average power ratio (PAR) radar waveform design problem to optimise detection and estimation performance simultaneously in presence of signal‐dependent clutter. The aim is realise an effective trade‐off between maximising output signal‐to‐interference‐plus‐noise (SINR) mutual information (MI) under a low‐PAR constraint. In existing method, this solved via convex optimisation, but high computational complexity method limits its application. Motivated by...

At present, in the process of opening and closing curtains, because people interior time is limited, can not be timely effective control curtains according to room outside light intensity indoor temperature, thus resulting best effect get problem, so put forward a kind automatic system STM32 based on curtains. The comprises temperature sensor module, clock motor liquid crystal display module manual module. After actual test, simple convenient, carry mode open close curtain, meet needs, wide...

In multi-target tracking, the sequential Monte Carlo probability hypothesis density (SMC-PHD) filter is a practical algorithm. Influenced by outliers under unknown heavy-tailed measurement noise, SMC-PHD suffers severe performance degradation. this paper, robust (RSMC-PHD) proposed. proposed filter, Student-t distribution introduced to describe noise where degrees of freedom (DOF) and scale matrix are respectively modeled as Gamma an inverse Wishart distribution. Furthermore, variational...

Since the emergence of COVID-19 epidemic, it has had a profound impact on people's activities. In order to grasp changes epidemic situation in real time, this paper puts forward an analysis and prediction method based ensemble learning. Firstly, historical data is captured from web. Then simply analyze data; Then, change trend displayed by visual scatter diagram; learning algorithm used model number asymptomatic cases, confirmed cured dead existing local cases suspected better parameters are...

Since the birth of artificial intelligence technology in last century, many computational methods have emerged to solve real-world problems for people, and it has been deeply integrated with various industries. For example, field mechanical design, design parameters are often encountered. In order help determine optimal values these parameters, this paper proposes a pin method based on genetic algorithm. first stage method, mathematical model is constructed, including determining...

With the development of microcontroller control technology, its application scenarios are increasing, such as corridor lights. Currently, it has problems high failure rate, delayed response, and incorrect lighting. In order to solve these problems, this paper designs a system for energy-saving lights based on microcontroller. The uses an AT89C51 microcontroller, paired with voice module, human body induction light detection electromagnetic relay etc. achieve intelligent When ambient is low,...

With the rapid development of automotive industry in recent years, there have been some problems with accessories, such as traditional car turn signals that do not respond a timely manner, are incorrectly lit, and flash incorrectly, which can lead to large or small traffic accidents. In order solve these thorny problems, this paper designs an automobile steering light control system based on AT89C52 MCU. The is composed LED module, switch key ultrasonic automatic circuit, buzzer LCD display...

In MIMO radar, due to the inaccuracy of prior information, waveform designed according information can not meet need parameter estimation. A method constant envelope robust design for radar based on maximum mutual (MI) criterion is proposed this problem. Firstly, under condition that estimation errors power spectral density target impulse response (TIR) and noise are both bounded, an optimization model constructed, which treats maximizing MI with corresponding received echo as objective...

Aimed at the problem that offline estimation algorithm of clutter intensity has lower accuracy in multitarget tracking, we propose an online update intensity. In our method, involves average number per scan and spatial distribution. During tracking procedure, is updated via number. Moreover, confidence degree method adopted to divide set parameters distribution are updated. addition, k-means further employed modify At last, smoothing operation introduced improve robustness proposed...

With the emergence of node.js, JavaScript language has opened up front-end and back-end full-stack development at same time, more npm modules need to be installed downloaded. In order help people analyze predict download volume data modules, this paper proposes a method for predicting analyzing packages based on ensemble learning. After first step, go historical data; Obtain feature distribution third step uses AdaBoost regression algorithm, GradientBoosting RandomForest ExtraTree Bagging...