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首页> 外文期刊>Microwave and optical technology letters >A translational motion compensation technique for inverse synthetic aperture radar images using multi‐objective particle swarm optimization algorithm
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A translational motion compensation technique for inverse synthetic aperture radar images using multi‐objective particle swarm optimization algorithm

机译：一种使用多目标粒子群优化算法逆合成孔径雷达图像的平移运动补偿技术

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Abstract >In this study, a novel multi‐objective (MO) motion compensation (MC) technique is proposed to clear blur effects in the inverse synthetic aperture radar (ISAR) images resulted by the translational motion of the target. Thanks to the MO particle swarm optimization (PSO) algorithm, the velocity and acceleration of the target which minimize the entropy and maximize the contrast of the ISAR image are optimally determined. In order to find an optimal solution from trade‐off solutions between entropy and contrast, Pareto front technique is exploited. To demonstrate the performance of the algorithm, the proposed method is implemented for the four ISAR scenarios reported elsewhere, and compared with the single‐objective meta‐heuristic optimization algorithms (artificial bee colony, genetic algorithm, and PSO with island model) implemented in the literature. Furthermore, the accuracy of the proposed technique is numerically pointed out by comparing the entropy and contrast values of each scenarios with the actual values. The results obviously indicate that the proposed MO MC technique is very successful and efficient compared to single‐objective algorithms and performance of the technique is higher than the other methods as the velocity and the acceleration increases. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><abstract type =“main”xml：lang =“en”> <标题类型=“main”>抽象</ title> 在本研究中，提出了一种新的多目标（Mo）运动补偿（MC）技术，以清除由目标的平移运动导致的逆合成孔径雷达（ISAR）图像中的模糊效应。由于Mo粒子群优化（PSO）算法，最终确定了目标最小化熵并最大化ISAR图像的对比度的目标的速度和加速度。为了找到从熵和对比之间进行权衡解决方案的最佳解决方案，利用Pareto前进技术。为了证明算法的性能，所提出的方法是为其他地方报告的四个ISAR场景实现的，并与在中实施的单目标元 - 启发式优化算法（人工蜂殖民地，遗传算法和PSO有岛式模型）进行比较文学。此外，通过将每个场景的熵和对比度与实际值进行比较，通过比较了所提出的技术的准确性。结果显然表明，与单目标算法相比，所提出的MO MC技术非常成功，有效，技术的性能高于其他方法，作为速度，加速度增加。</ p> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-24977/'>《Microwave and optical technology letters》</a> <b style="margin: 0 2px;">|</b><span>2020年第6期</span><b style="margin: 0 2px;">|</b><span>共9页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/1165.html" title="光学">光学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=maximum contrast&option=203" rel="nofollow">maximum contrast;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=minimum entropy&option=203" rel="nofollow">minimum entropy;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=motion compensation&option=203" rel="nofollow">motion compensation;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=multi objective optimization&option=203" rel="nofollow">multi objective optimization;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Pareto front&option=203" rel="nofollow">Pareto front;</a> </p> <div class="translation"> 机译：最大对比度;最小熵;运动补偿;多目标优化;帕累托前线; </div> </li> <li> <span class="lefttit">入库时间</span> <span>2022-08-19 17:22:48</span> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704019949172.html">A translational motion compensation technique for inverse synthetic aperture radar images using multi‐objective particle swarm optimization algorithm</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> </a> <a href="/journal-foreign-24977/" target="_blank" rel="nofollow" class="tuijian_authcolor">Microwave and optical technology letters .</a> <span>2020</span><span>,第6期</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：一种使用多目标粒子群优化算法逆合成孔径雷达图像的平移运动补偿技术</span> </p> </li> <li> <div> <b>2. </b><a class="enjiyixqcontent" href="/academic-journal-foreign_radar-sonar-and-navigation-iet_thesis/0204112855568.html">Accelerated translational motion compensation with contrast maximisation optimisation algorithm for inverse synthetic aperture radar imaging</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Shao Shuai&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Shao Shuai,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Zhang Lei&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Zhang Lei,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Liu Hongwei&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Liu Hongwei,</a> <a href="/journal-foreign-51/" target="_blank" rel="nofollow" class="tuijian_authcolor">Radar, Sonar & Navigation, IET .</a> <span>2019</span><span>,第2期</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：逆合成孔径雷达成像的对比度最大化优化算法加速平移运动补偿</span> </p> </li> <li> <div> <b>3. </b><a class="enjiyixqcontent" href="/academic-journal-foreign_radar-sonar-and-navigation-iet_thesis/02041995214.html">Parametric inverse synthetic aperture radar manoeuvring target motion compensation based on particle swarm optimiser</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Peng S.-B.Xu J.Peng Y.-N.Xiang J.-B.&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Peng S.-B.Xu J.Peng Y.-N.Xiang J.-B. </a> <a href="/journal-foreign-51/" target="_blank" rel="nofollow" class="tuijian_authcolor">Radar, Sonar & Navigation, IET .</a> <span>2011</span><span>,第3期</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：基于粒子群优化器的参数化逆合成孔径雷达机动目标运动补偿</span> </p> </li> <li> <div> <b>4. </b><a class="enjiyixqcontent" href="/academic-conference-foreign_stochastic-neural-methods-signal-processing-image-computer-vision_thesis/0205183162.html">New inverse synthetic aperture radar algorithm for translational motion compensation</a> <b>[C]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Richard P. 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