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Analysis and Design of auxiliary array With Intelligent Optimization for Interference Suppression of Vehicular Communication

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2024年第6期73卷 8295-8305页

作者： Guo, Yu Wang, Hengfeng Wu, Hao Ge, Songhu Yang, Zhong Meng, Jin Naval Univ Engn Natl Key Lab Electromagnet Energy Wuhan 430000 Peoples R China

The auxiliary array is the key to improving the interference suppression performance in vehicular communication, especially for various operating frequencies of radio communication and unknown directions of interference. In this paper, the effects of the auxiliary array parameters on the interference suppression performance are analyzed, and the maximum acceptable area model is proposed. After deriving and simplifying the analytical solutions of the weights and the signal to interference plus noise ratio (SINR) after interference suppression, the efficient acceptable rule inherits suppression requirements of the communication radio, significantly reducing computational complexity. The proposed model focuses on maximizing the acceptable area in view of this rule. The gain of the auxiliary antenna is also obtained by the proposed model. Based on theoretical analysis, we designed the auxiliary structure, which can fully absorb the advantages of the loading and matching technology and avoid the limitations of the independent strategy. However, the structure parameters, including the topology and components of the antenna, are complex and interactive. Therefore, the intelligent method named the homogeneous Grasshopper optimization algorithm was adopted to consider these parameters comprehensively. Finally, it leads to a remarkable improvement in the optimization efficiency for not only the spacing but also the antenna parameters. Experiments based on communication radio demonstrate that the proposed model is very efficient and promising for auxiliary array optimization, and the implemented antenna achieves ideal radiation characteristics and high gain in a wide frequency band.

关键词： Optimization Signal to noise ratio Antennas Interference suppression Adaptive arrays Broadband antennas Loaded antennas auxiliary array interference suppression maximum acceptable area signal to interference noise ratio Grasshopper optimization algorithm

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Mainlobe Interference Suppression Based on Large Aperture auxiliary array

Mainlobe Interference Suppression Based on Large Aperture Au...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Yang, Xiaopeng Yin, Pilei Zeng, Tao Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China

ISBN: (纸本)9781467306676;9781467306669

In this paper, a new technology of mainlobe interference suppression for radar system is proposed based on large aperture auxiliary array. The geometry of auxiliary array is firstly designed, and then two adaptive beamforming methods are presented respectively. In method one, the interference received by the auxiliary array is utilized to cancel the mainlobe interference of main radar based on the rule of Minimum Mean Square Error (MMSE). In method two, the auxiliary array and the main radar are combined to construct one whole phased antenna array to suppress the mainlobe interference of main radar based on the rule of Maximum Signal to Interference plus Noise Ratio (MSINR), which can not only suppress the mainlobe interference effectively but also improve significantly the gain of target. The simulations are carried out to illustrate the performance of proposed methods.

关键词： mainlobe interference suppression adaptive beamforming auxiliary array MMSE MSINR

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Mainlobe and sidelobe jamming suppression method based on distributed array radar with eigen-projection matrix processing and null constraints

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IET RADAR SONAR AND NAVIGATION 2024年第11期18卷 2212-2221页

作者： Han, Bowen Yang, Xiaopeng Lv, Qiang Li, Wolin Zhang, Zhengyan Zhong, Shichao Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China Yangtze Delta Reg Acad Beijing Inst Technol Jiaxing Peoples R China Beijing Inst Elect Syst Engn Beijing Peoples R China

The jamming in electronic warfare environment significantly degrades the performance of the radar system, especially the mainlobe jamming. The distributed array radar can suppress the mainlobe jamming by increasing the array aperture with auxiliary arrays. However, when the aperture of an auxiliary array is smaller than that of the main array, it results in residual jamming in auxiliary arrays after beamforming and affects the performance of the radar system. To tackle this issue, a mainlobe and sidelobe jamming joint suppression method with eigen-projection matrix processing (EMP) and null constraints is proposed. In the proposed method, firstly, the adaptive beamforming with EMP is performed in main and auxiliary arrays to suppress the sidelobe jamming with mainlobe maintenance. Then, the null constraints based on the Capon spectrum of main array are applied to suppress the residual jamming in auxiliary arrays. Finally, the minimum mean square error (MMSE) beamforming is utilised to cancel the mainlobe jamming. Simulation results demonstrate the jamming suppression performance of the proposed method.

关键词： Electromagnetic compatibility and interference Antenna arrays jamming Radar equipment, systems and applications Signal processing and detection null constraints Electronic warfare joint suppression method Radar theory Interpolation and function approximation (numerical analysis) interference suppression least mean squares methods mainlobe jamming distributed array radar main array array signal processing auxiliary array jamming suppression performance array aperture eigen-projection matrix processing electronic warfare sidelobe jamming radar system residual jamming

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Contrastive Analysis of Bubble & Merge Sort Proposing Hybrid Approach 6

Contrastive Analysis of Bubble & Merge Sort Proposing Hybrid...

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6th International Conference on Innovative Computing Technology (INTECH)

作者： Cheema, Sehrish Munawar Sarwar, Nadeem Yousaf, Fatima UOG Sch Comp & IT Sialkot Sub Campus Sialkot Pakistan

ISBN: (纸本)9781509020003

A sorting algorithm is one that puts elements of a list in a certain order. It makes easy searching and locating the information. The most-used orders are numerical order and lexicographical order. An efficient sorting algorithm is that takes less time and space complexity. In this paper I make contrastive analysis of bubble sort and merge sort and tried to show why required some new approach to get best sorting results. In this regard we proposed a hybrid approach that will take minimum number of comparisons, with less time and space complexity to sort. Divide and conquer (merge sort) with bi-directional bubble sort approach is used and an example data is sorted with such hybrid approach.

关键词： Sorting Bubble Sort Merge Sort Hybrid Approach Bi-directional bubble sort auxiliary array time & space complexity

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DOA Estimation in an Antenna array with Mutual Coupling based on ESPRIT

DOA Estimation in an Antenna Array with Mutual Coupling base...

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International Workshop on Microwave and Millimeter Wave Circuits and System Technology (MMWCST)

作者： Hao, Li Ping, Wei UESTC Res Inst Elect Sci & Technol Chengdu Peoples R China UESTC Sch Elect Engn Chengdu Peoples R China

ISBN: (纸本)9781467355049

Many classical direction of arrival (DOA) estimation algorithms suffer from sensitivity to mutual coupling of antenna array. In this paper, a stable estimation method of DOA estimation is introduced. This method is applying a group of auxiliary arrays, exploiting the banded symmetric and Toeplitz matrix model for the mutual coupling in a uniform linear array (ULA), based on the estimation of signal parameter via rotational invariance techniques (ESPRIT) algorithm. The favorable DOA estimation can be provided without the knowledge of the array mutual coupling matrix. The correction and efficiency of the proposed algorithm are verified by the computer simulation results.

关键词： DOA Estimation ESPRIT Antenna array Mutual Coupling auxiliary array

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Enhanced merge sort using simplified transferrable auxiliary space 30

Enhanced merge sort using simplified transferrable auxiliary...

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30th International Conference on Computer Applications in Industry and Engineering, CAINE 2017

作者： Qiu, Zirou Liu, Ziping Zhang, Xuesong Department of Computer Science Southeast Missouri State University Cape GirardeauMO63701 United States

ISBN: (纸本)9781943436088

This paper presents an enhanced implementation for the classic merge sort algorithm which reduces both the execution time as well as the extra space requirements. The main idea is to modify the merge procedure such that it only moves half of the input array into one single auxiliary array instead of the conventional whole array and two auxiliary arrays. Experimental data proves that the proposed implementation is faster than the conventional implementation.

关键词： auxiliary array Merge sort Space complexity Time complexity

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