{"title":"Research on a forward-looking scanning imaging algorithm for a high-speed radar platform","authors":"Sijia Liu, Minghai Pan","doi":"10.1049/sil2.12221","DOIUrl":null,"url":null,"abstract":"<p>The range and azimuth information of a target can be obtained after coherent pulse accumulation of the traditional multiframe stepped-frequency (SF) synthesis wideband echo and spectrum analysis, and high-resolution two-dimensional imaging of the target can be achieved. However, the accumulation of a certain number of pulses requires a long beam dwell time, which cannot meet real-time imaging requirements for high-speed radar moving platforms. To solve the above problems, a scanning imaging mode is proposed by combining forward-looking imaging and scanning imaging, and a target echo signal model with the structure of scanning stepped-frequency is constructed. The SF pulses are grouped and transmitted according to the scanning order, and the echo pulses are sorted and reorganised. After the timing compensation and range Doppler coupling compensation are completed, the target is located and projected. The proposed imaging mode can achieve high-resolution scanning forward-looking imaging and can basically attain an azimuth resolution of approximately 0.1° within the forward-looking scanning range. This imaging mode has higher real-time performance and a larger target imaging range than the traditional methods. Moreover, the simulation results showed good performance via the scanning imaging method.</p>","PeriodicalId":56301,"journal":{"name":"IET Signal Processing","volume":"17 6","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/sil2.12221","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/sil2.12221","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The range and azimuth information of a target can be obtained after coherent pulse accumulation of the traditional multiframe stepped-frequency (SF) synthesis wideband echo and spectrum analysis, and high-resolution two-dimensional imaging of the target can be achieved. However, the accumulation of a certain number of pulses requires a long beam dwell time, which cannot meet real-time imaging requirements for high-speed radar moving platforms. To solve the above problems, a scanning imaging mode is proposed by combining forward-looking imaging and scanning imaging, and a target echo signal model with the structure of scanning stepped-frequency is constructed. The SF pulses are grouped and transmitted according to the scanning order, and the echo pulses are sorted and reorganised. After the timing compensation and range Doppler coupling compensation are completed, the target is located and projected. The proposed imaging mode can achieve high-resolution scanning forward-looking imaging and can basically attain an azimuth resolution of approximately 0.1° within the forward-looking scanning range. This imaging mode has higher real-time performance and a larger target imaging range than the traditional methods. Moreover, the simulation results showed good performance via the scanning imaging method.
期刊介绍：
IET Signal Processing publishes research on a diverse range of signal processing and machine learning topics, covering a variety of applications, disciplines, modalities, and techniques in detection, estimation, inference, and classification problems. The research published includes advances in algorithm design for the analysis of single and high-multi-dimensional data, sparsity, linear and non-linear systems, recursive and non-recursive digital filters and multi-rate filter banks, as well a range of topics that span from sensor array processing, deep convolutional neural network based approaches to the application of chaos theory, and far more.
Topics covered by scope include, but are not limited to:
advances in single and multi-dimensional filter design and implementation
linear and nonlinear, fixed and adaptive digital filters and multirate filter banks
statistical signal processing techniques and analysis
classical, parametric and higher order spectral analysis
signal transformation and compression techniques, including time-frequency analysis
system modelling and adaptive identification techniques
machine learning based approaches to signal processing
Bayesian methods for signal processing, including Monte-Carlo Markov-chain and particle filtering techniques
theory and application of blind and semi-blind signal separation techniques
signal processing techniques for analysis, enhancement, coding, synthesis and recognition of speech signals
direction-finding and beamforming techniques for audio and electromagnetic signals
analysis techniques for biomedical signals
baseband signal processing techniques for transmission and reception of communication signals
signal processing techniques for data hiding and audio watermarking
sparse signal processing and compressive sensing
Special Issue Call for Papers:
Intelligent Deep Fuzzy Model for Signal Processing - https://digital-library.theiet.org/files/IET_SPR_CFP_IDFMSP.pdf
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