Controlling peak side-lobe level (PSL) is of great importance in high-resolution applications multiple-input multiple-output (MIMO) radars. In this paper, designing sequences with good autocorrelation properties are studied. The PSL the regarded as main merit and optimized through newly introduced cyclic algorithms, namely; Minimization Quadratic Approach (PMQA), Algorithm, smallest Rectangular (PMAR), Optimization Cyclic Algorithm (POCA). It revealed that minimizing results better terms...

In this correspondence, we target the problem of radar waveform design based on ambiguity function. The is formulated as an optimization, where nonconvex unimodularity constraint also considered. solved by successive application majorization minimization (MM) and projected gradient descent algorithm (PGD). proposed method has unprecedented ability to synthesize nonzero subregions. superiority in achieving zero subregions confirmed through simulation, a suppression at least 6 dB evident...

In today's world, everything is connected via the Internet. Smart cities are one application of Internet Things (IoT) that aimed at making city management more efficient and effective. However, IoT devices within a smart may collect sensitive information. Protecting information requires maintaining privacy. Existing solutions have been shown not to offer effective privacy protection. We propose novel continuous method called Differential Privacy-Preserving City (DPSmartCity). When device...

A smart city is an Internet-based application of things that automates management with no need for human interference. Exchanging data via devices obviate some challenges in intelligent cities. In a city, Internet-of-Things (IoT) may detect sensitive data, posing risk privacy violation and system harm. We discover existing solutions are either too expensive or ineffective at limiting unintended disclosure to build dependable, city. The fact they create static surroundings the fundamental...

Abstract In the era of digital marketing, advertisements have become an indispensable part. One central challenges is advertising attribution which explains amount contribution every publisher has with conversions. However, through observation, we found that current platforms attribution, advertisers or third‐party all problems trust, data leakage, and forgery. To fill gap, our work's main combining blockchain to propose architecture for improving privacy‐preserving degree amount. proposed...

In this study, the use of a family Chebyshev chaotic maps for pulse compression in multiple input–multiple output (MIMO) radars is studied. It shown that, these one‐dimensional maps, which are amongst simplest systems, can produce arbitrary number sequences with length, low peak‐to‐average power ratio (PAPR), high merit factor (MF) or equivalently integrated side‐lobe (ISLR), very peak and cross‐correlation levels. The complexity algorithm generating method linear. Besides, because flat...

Integration of radar and communication (IRC) is conducive to improving hardware resource utilization spectrum utilization. This paper proposes a joint range velocity estimation method for IRC based on multi-symbol orthogonal frequency division multiplexing (OFDM) pulses. A two-step parameters applied, where estimating the signal via rotational invariance technique (ESPRIT) weighted subspace fitting (WSF) perform rough fine estimations. We first build receiving model integrated element-wise...

Compressed sensing is recently applied to time delay estimation, resulting in higher accuracy and stability compared traditional methods. In this paper, a estimation model designed based on adaptive iterative local searching orthogonal matching pursuit (AILSOMP) algorithm, an improved three-stage weighted least squares localization algorithm proposed using the values. Firstly, sensor receives acoustic waves from target deep-sea multipath environment. It then obtains rectilinear propagation...

In the underwater sound source localisation systems, wave signal is accompanied by time delay and Doppler shift, where cross-ambiguity function (CAF) commonly applied as a method of estimating them. This study proposes novel for calculating exact value CAF,based on theory curved surface interpolation. Firstly, two optimisation problems with equality inequality constraints are developed, penalty employed to turn constraint problem into an unconstrained problem. Secondly, shift CAF solution...

This article proposes a new method for detecting water content in oil-water emulsions by coaxial double cylinder electrodes system. An equivalent circuit model of the system is developed that consists electrical layers, sample solutions, and electrodes. The impedance response analyzed different frequency ranges, effect electrode surface-sample solution interface also investigated. A designed fabricated to conduct measurement experiments. results verify validity uncover linear relationship...

Experience has shown that trading in stock and cryptocurrency markets the potential to be highly profitable. In this light, considerable effort been recently devoted investigate how apply machine learning deep interpret predict market behavior. This research introduces a new neural network architecture novel idea of prepare financial data before feeding them model. preparation part, first step is generate many features using technical indicators then XGBoost model for feature engineering....

In this paper, a set of sequences is developed with minimized mean sidelobe level (MSL). The problem formulated for cognitive radars using the l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -norm, where target cognition determines which sidelobes should be suppressed. radar configuration requires fast waveform regeneration in each cycle. light, computational burden algorithms here revealed to situated on singular value decomposition...

Track-to-track association (T2TA) is a challenging task in situational awareness intelligent vehicles and surveillance systems. In this paper, the problem of track-to-track with sensor bias (T2TASB) considered. Traditional T2TASB algorithms only consider statistical distance cost between local tracks from different sensors, without exploiting geometric relationship one track its neighboring ones each sensor. However, relative geometry among usually stable, at least for while, thus helpful...

Compressive sensing (CS) has emerged as a promising technique for collecting and reconstructing digital signals. In this article, we design CS method magnetic flux leakage (MFL) detectors based on the problem's physics. A is presented to reconstruct x y components of B <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">→</sup> field using few samples. First, problem formulated into an optimization framework where goal minimize Euclidean distance...