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Synthesis of frequency diverse array with large null depths via a hybrid optimisation approach of mayfly algorithm and convex programing

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IET SIGNAL PROCESSING 2022年第9期16卷 1085-1093页

作者： Shao, Xiaolang Hu, Taiyang Zhang, Jinyu Xiao, Zelong Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Peoples R China

By controlling the null distribution in the range-angle dimension, the frequency diverse array (FDA) can handle range-dependent interference, which is usually difficult to solve for the traditional phased array. However, the current investigations focus more on the design of weights for null control, ignoring the unique design dimension of FDA, that is, the frequency offsets. Therefore, the array potential cannot be fully exploited to maximise the range-dependent interference suppression capability. In this paper, a novel FDA synthesis method with large null depth is proposed. By incorporating the mayfly algorithm and convex programing, frequency offsets and transmit weights are jointly optimised to generate maximum null depths in a given region while maintaining the specified array response of the desired target. Other null control methods for FDA are listed as comparison, including weights-only optimisation method, frequency offsets-only optimisation and frequency offsets and weights sequentially optimisation method. Numerical examples demonstrate the superiority of the proposed algorithm.

关键词： traditional phased array convex programming optimisation range-angle dimension FDA synthesis method hybrid optimisation approach convex programing null distribution null depth frequency offsets-only optimisation null control methods array potential maximum null depths frequency diverse array range-dependent interference suppression capability optimisation method mayfly algorithm specified array response interference suppression unique design dimension array signal processing

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Design of Simplified Array Layouts for Preliminary Experimental Testing and Validation of Large AESAs

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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 2018年第12期66卷 6906-6920页

作者： Anselmi, Nicola Poli, Lorenzo Rocca, Paolo Massa, Andrea Univ Trento ELEDIA Res Ctr I-38123 Trento Italy Univ Carlos III Madrid ELEDIA Res Ctr Leganes 28911 Spain

The problem of designing simplified and cost-effective versions of large phased arrays for a preliminary, but meaningful, experimental testing of a selected set of radiation requisites of the final/complete layouts is addressed. With reference to an array architecture composed by a wide set of equal (or different, even though limited to a finite number of sizes) functional blocks, each one containing the feeding network and the control line for a cluster of elements having independent transmit-receive modules, a novel and ad-hoc method is proposed for determining and selecting the minimum set of blocks of the fully populated array and the excitations of their elements to guarantee the fulfilment of a requested subset of performance of the final/complete arrangement. Representative results are shown and discussed to point out the peculiarities and the potential impact on the active electronically scanned array production cycle of the topic at hand as well as the effectiveness and the potentialities of the proposed design methodology.

关键词： Active electronically scanned array (AESA) array design array simplification convex programing genetic algorithm (GA) optimization subarraying

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Pattern synthesis of dual-polarised conformal array based on adaptive iterative convex optimisation

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IET MICROWAVES ANTENNAS & PROPAGATION 2023年第3期17卷 237-246页

作者： Liu, Chao Qian, Junjie Zhang, Lei Zhang, Xiaoyuan Hefei Univ Technol Dept Elect & Commun Engn Hefei Peoples R China Hefei Univ Technol Dept Elect & Commun Engn Hefei 230601 Peoples R China

This study focuses on the shaped beam pattern synthesis based on the convex optimisation method for conformal arrays. First, the original pattern synthesis problem is transformed into a constrained optimisation problem for the power pattern. Then, it is rewritten as a convex optimisation problem through a linear approximation of weight vector. In order to enhance the resiliency of the algorithm, a robust linear approximate method is proposed with an adaptive upper bound of step size. The loss between the obtained and desired pattern is defined to dynamically adjust the upper bound. Benefiting from the flexible constraint, the proposed method can achieve the arbitrary beam pattern with fast convergence and robustness. Finally, numerous typical examples are provided to demonstrate the validity of the proposed method.

关键词： antenna radiation patterns conformal antennas convex programing

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Real-time dwell scheduling algorithm for phased array radar based on a backtracking strategy

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IET RADAR SONAR AND NAVIGATION 2023年第2期17卷 261-276页

作者： Li, Zhongzhu Cheng, Ting Heng, Siyu Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Peoples R China

The effective dwell scheduling algorithm must be studied to make full use of the radar system's limited resources. In this study, a real-time dwell scheduling in phased array radar is investigated, where the optimisation problem model that takes the importance, urgency and desired execution time criteria into consideration is built. A real-time dwell scheduling algorithm for phased array radar based on a backtracking strategy is proposed to solve this problem. Based on the scheduled task pointed by the time pointer, when it is not interleaved with the previously scheduled tasks, two previously interleaved blocks are backtracked, and the actual execution time of tasks in these two blocks are adjusted. In order to guarantee real-time scheduling, the concept of the virtual dwell task is introduced to reduce the dimension of the original execution time optimisation problem first, then it is converted into two convex optimisation problems and their analytical solutions are deduced. Simulation results demonstrate that the proposed algorithm can realise real-time dwell scheduling, and it has the lowest Task Drop Ratio, the highest Hit Value Ratio, Time Utilisation Ratio and low Average Time Shifting Ration compared with conventional and up-to-date algorithms.

关键词： convex programing multifunction radar phased array radar scheduling

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Energy Management of Fuel Cell Hybrid Vehicle Based on Partially Observable Markov Decision Process

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IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 2020年第2期28卷 318-330页

作者： Shen, Di Lim, Cheng-Chew Shi, Peng Bujlo, Piotr Univ Adelaide Sch Elect & Elect Engn Adelaide SA 5005 Australia Univ Western Cape Hydrogen South Africa HySA Syst & Validat Ctr ZA-7535 Cape Town South Africa

This paper presents a nonmyopic energy management strategy (EMS) for controlling multiple energy flow in fuel cell hybrid vehicles. The control problem is solved by convex programing under a partially observable Markov decision process-based framework. We propose an average-reward approximator to estimate a long-term average cost instead of using a model to predict future power demand. Thus, the dependence between the system closed-loop performance and the model accuracy for predicting the future power demand is decoupled in the energy management design for fuel cell hybrid vehicles. The energy management scheme consists of a real-time self-learning system, an average-reward filter based on the Markov chain Monte Carlo sampling, and an action selector system through the rollout algorithm with a convex programing-based policy. The performance evaluation of the EMS is conducted via simulation studies using the data obtained from real-world driving experiments and its performance is compared with three benchmark schemes.

关键词： Power demand Energy management Fuel cells Markov processes Electric motors Power generation Resistance convex programing energy management fuel cell hybrid vehicle Markov chain Monte Carlo (MCMC) model predictive control (MPC) partially observable Markov decision process (POMDP)

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Mathematics of sparsity (and a few other things)

Mathematics of sparsity (and a few other things)

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International Congress of Mathematicians (ICM)

作者： Candes, Emmanuel J. Stanford Univ Dept Math Stanford CA 94305 USA Stanford Univ Dept Stat Stanford CA 94305 USA

ISBN: (纸本)9788961058049

In the last decade, there has been considerable interest in understanding when it is possible to find structured solutions to underdetermined systems of linear equations. This paper surveys some of the mathematical theories, known as compressive sensing and matrix completion, that have been developed to find sparse and low-rank solutions via convex programming techniques. Our exposition emphasizes the important role of the concept of incoherence.

关键词： Underdetermined systems of linear equations compressive sensing matrix completion sparsity low-rank-matrices l(1) norm nuclear norm convex programing Gaussian widths

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Load Management using Multiple Sequential Load Shaping Techniques

Load Management using Multiple Sequential Load Shaping Techn...

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IEEE IAS/PES Power Africa Conference

作者： Attia, Amira M. Youssef, Karim H. Abbasy, Nabil H. Alexandria Univ Dept Elect Engn Alexandria Egypt

ISBN: (纸本)9781538641637

Demand Side Management (DSM) is an essential characteristic of current and future smart grid systems. As one of DSM functions, load management aims to control customers' total electric consumption and utility's load factor by using various load shaping techniques. However, applying load shaping techniques such as load shifting, peak clipping, or strategic conservation individually does not provide the desired level of improvement for load factor increment and/or customer's bill reduction. In this paper, two load shaping techniques will be simulated as constrained optimization problems. The purpose is to reflect the application of combined load shifting and strategic conservation model together at the same time, and the application of combined load shifting and peak clipping model as well. The problem will be formulated and solved by using disciplined convex programming (CVX) based MATLAB (R) R2013b. Simulation results will be evaluated and compared for studying the most impactful multi-techniques model in improving load curve.

关键词： Building energy optimization convex programing Demand side management Load shaping techniques Multiple

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