<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005">
<channel xmlns:cfi="http://www.microsoft.com/schemas/rss/core/2005/internal" cfi:lastdownloaderror="None">
<title cf:type="text"><![CDATA[Editorial department of the Journal of National University of Defense Technology -->雷达信号与信息处理]]></title>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Research and implementation of high planar resolution penetrating imaging radar]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305013]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Penetrating imaging radar technology uses the characteristics that the electromagnetic wave can penetrate the medium, to get high-resolution image of discontinuities in the non-metallic medium. In order to realize millimeter high plane resolution, high detection efficiency and high portability of the radar system, a high plane resolution penetration imaging radar system was designed. Continuous wave system and fast scanning spatial sampling scheme were adopted to ensure miniaturization and high imaging performance. An integrated radar RF front end was realized. Data processing methods such as autofocus imaging processing under the condition of unknown parameters were proposed. A prototype of penetrating imaging radar system, which weighs only 2.5 kg and can be operated by one person and one hand, was developed. The experimental tests of imaging resolution and penetration ability were carried out to verify the feasibility and effectiveness of the scheme.]]></description>
<pubDate>2023/9/26 0:00:00</pubDate>
<category><![CDATA[雷达信号与信息处理]]></category>
<author><![CDATA[HE Zhihua, LIU Tao, SONG Xiaoji, CHEN Cheng, JIN Guanghu, HUANG Chunlin, SU Yi]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>HE Zhihua, LIU Tao, SONG Xiaoji, CHEN Cheng, JIN Guanghu, HUANG Chunlin, SU Yi</atom:name>
</atom:author>
<guid><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305013]]></guid><cfi:id>6</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Power resource allocation method for CMIMO radar based on characteristics of RCS]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305014]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[In the actual tracking scenarios of the CMIMO (collocated multiple-input multiple-output) radar, the high dynamic RCS(radar cross section) fluctuation characteristic is not utilized effectively and thus it will lead to low tracking accuracy or even missing tracking. To solve this problem, a CMIMO radar power resource adaptive allocation method based on the high dynamic RCS fluctuation characteristic was proposed. Note that the target RCS was sensitive to the observing angle and the actual observing angle could be obtained dynamically via the prediction of target kinetic state, thus the polarization mode could be optimized during different tracking frames. Thereafter, the tracking posterior Cramer-Rao bound which included radar transmitting power and RCS was derived and it could see as the object function to be optimized. Finally, the internal penalty function method was implemented to tackle the aforementioned optimization problem and it achieved the optimized power allocation with high dynamic RCS. Simulation results validate that compared with the traditional RCS model allocation method, the proposed method fully utilizes the dynamic RCS fluctuation characteristics to achieve the effective allocation and it solves the mismatched problem between the allocation scheme and the actual tracking scenarios, which improves the multi-target tracking performance of the CMIMO radar.]]></description>
<pubDate>2023/9/26 0:00:00</pubDate>
<category><![CDATA[雷达信号与信息处理]]></category>
<author><![CDATA[YANG Oingwei, JIANG Libing, ZHENG Shuyu, DING Rui, WANG Zhuang]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>YANG Oingwei, JIANG Libing, ZHENG Shuyu, DING Rui, WANG Zhuang</atom:name>
</atom:author>
<guid><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305014]]></guid><cfi:id>5</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Modulation classification method for OFDM subcarrier under carrier frequency offset]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305015]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[A modulation recognition algorithm based on signal amplitude distribution and higher-order spectral characteristics was presented. The algorithm mainly utilized the amplitude distribution of orthogonal frequency division multiplexing subcarrier signal after orthogonal demodulation by inverse Fourier transform, realized multiplexing phase shift key and orthogonal amplitude modulation recognition by histogram statistics, and the modulation order in the multiplexing phase shift key class was recognized by multi-spectral analysis. Compared with the classical modulation recognition algorithm based on high-order cumulant, it has better adaptability to carrier frequency residual deviation, and the recognition rate is improved under the condition of carrier frequency offset. Compared with the cyclostationary method, it has better signal-to-noise ratio adaptability. The simulation results show the effectiveness of this method. Under the same recognition rate, the adaptability is improved. The simulation results show the effectiveness of this method.]]></description>
<pubDate>2023/9/26 0:00:00</pubDate>
<category><![CDATA[雷达信号与信息处理]]></category>
<author><![CDATA[ZHU Liwei, WANG Xiang, WANG Yao, WANG Fenghua, HUANG Zhitao]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>ZHU Liwei, WANG Xiang, WANG Yao, WANG Fenghua, HUANG Zhitao</atom:name>
</atom:author>
<guid><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305015]]></guid><cfi:id>4</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Radar target tracking algorithm in the framework of interacting multiple model with glint noise]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305016]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[Aiming at the problem of the performance degradation of the traditional tracking algorithm when confronted with glint noise, a high performance filtering method named as IMM-CKF was proposed by integrating the CKF(cubature Kalman filter) into the framework of IMM(interacting multiple model). In the proposed algorithm, the target state was modeled as Gaussian distribution, the glint noise was modeled as Gaussian mixture distribution, and the occurrence probability of the glint noise was modeled as the first-order Markov process. An IMM framework was then used to implement model-matched filtering for each Gaussian component. To further mitigate the impact of nonlinear observation condition on tracking accuracy, the CKF was utilized as Gaussian approximation filter to realize recursive prediction and update of the target state. Simulation results show that the proposed method not only has higher tracking accuracy than traditional algorithms such as Gaussian sum filter and particle filter, but also has better real time ability. Additionally, the IMM-CKF can effectively estimate the existence of glint noise.]]></description>
<pubDate>2023/9/26 0:00:00</pubDate>
<category><![CDATA[雷达信号与信息处理]]></category>
<author><![CDATA[ZHAN Ronghui, LI Zujian, TENG Shuhua]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>ZHAN Ronghui, LI Zujian, TENG Shuhua</atom:name>
</atom:author>
<guid><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305016]]></guid><cfi:id>3</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Complex multitask Bayesian compressive sensing algorithm using modified Laplace priors]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305017]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[To extend the existing real-valued BCS(Bayesian compressive sensing) framework to the complex-valued one, a CMBCS-MLP(complex multitask Bayesian compressive sensing algorithm using modified Laplace priors) was developed to eliminate the impact of measurement noise variance, and a fast algorithm based on sequential operations was further derived. It is demonstrated by numerical examples that the developed CMBCS-MLP algorithm is more accurate and robust than the existing algorithms in the complex sparse signal reconstructions.]]></description>
<pubDate>2023/9/26 0:00:00</pubDate>
<category><![CDATA[雷达信号与信息处理]]></category>
<author><![CDATA[ZHANG Qilei, SUN Bin]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>ZHANG Qilei, SUN Bin</atom:name>
</atom:author>
<guid><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305017]]></guid><cfi:id>2</cfi:id><cfi:read>true</cfi:read></item>
<item>
<title xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="text"><![CDATA[Novel digital Stretch implementation method based on cascading segmented Fourier transform]]></title>
<link><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305018]]></link>
<description xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005" cf:type="html"><![CDATA[To resolve the problem of high hardware consumption and difficulty in engineering implementation in digital Stretch processing with large decimation multiples, a new method based on cascading segmented FFT (fast Fourier transform) processing was proposed. The data sequence after digital mixing is cascading segmented and reorganized, and then the digital Stretch processing was realized by using the less points FFT operation. The experimental results based on the measured data prove the effectiveness of the presented strategy. The resource consumption analysis demonstrates that the proposed method can implement digital Stretch more hardware-efficiently compared with the conventional method.]]></description>
<pubDate>2023/9/26 0:00:00</pubDate>
<category><![CDATA[雷达信号与信息处理]]></category>
<author><![CDATA[LIN Qianqiang, QIN Zhengyang, MO Canyu]]></author>
<atom:author xmlns:atom="http://www.w3.org/2005/Atom">
<atom:name>LIN Qianqiang, QIN Zhengyang, MO Canyu</atom:name>
</atom:author>
<guid><![CDATA[http://journal.nudt.edu.cn/gfkjdxxben/article/abstract/202305018]]></guid><cfi:id>1</cfi:id><cfi:read>true</cfi:read></item>
</channel>
</rss>