Multi-function radar emitter identification based on stochastic syntax-directed translation schema

To cope with the problem of emitter identification caused by the radar words＇ uncertainty of measured multi-function radar emitters, this paper proposes a new identification method based on stochastic syntax-directed translation schema（SSDTS）. This method, which is deduced from the syntactic modeling of multi-function radars, considers the probabilities of radar phrases appearance in different radar modes as well as the probabilities of radar word errors occurrence in different radar phrases. It concludes that the proposed method can not only correct the defective radar words by using the stochastic translation schema, but also identify the real radar phrases and working modes of measured emitters concurrently. Furthermore, a number of simulations are presented to demonstrate the identification capability and adaptability of the SSDTS algorithm.The results show that even under the condition of the defective radar words distorted by noise,the proposed algorithm can infer the phrases, work modes and types of measured emitters correctly.     

Parallel Distributed CFAR Detection Optimization Based on Genetic Algorithm with Interval Encoding

Aiming at parallel distributed constant false alarm rate (CFAR) detection employing K/N fusion rule, an optimization algorithm based on the genetic algorithm with interval encoding is proposed. N-1 local probabilities of false alarm are selected as optimization variables. And the encoding intervals for local false alarm probabilities are sequentially designed by the person-by-person optimization technique according to the constraints. By turning constrained optimization to unconstrained optimization, the problem of increasing iteration times due to the punishment technique frequently adopted in the genetic algorithm is thus overcome. Then this optimization scheme is applied to spacebased synthetic aperture radar (SAR) multi-angle collaborative detection, in which the nominal factor for each local detector is determined. The scheme is verified with simulations of cases including two, three and four independent SAR systems. Besides, detection performances with varying K and N are compared and analyzed.     

Long-period meteor radar temperature variations over Collm (51°N, 13°E) and Kazan (56°N, 49°E)

We have estimated temperatures from meteor radar measurements using the gradient method and the full width at half maximum method over Kazan (56°N 49°E) and Collm (51°N, 13°E). The time series cover the period 2016–2019. The temperature gradient model is constructed from SABER temperature observations. We demonstrate that annual mean, amplitudes and phases of the annual and semiannual oscillations of the radar temperatures are close to those of the MLS and SABER temperatures. The annual mean temperatures over Kazan and Collm differ non-significantly. The seasonal variability of the radar temperature is mostly due to the annual cycle which tends to grow with latitude. The gradient method produces temperatures which agree with the SABER temperatures better than with the MLS ones. The harmonics of the annual oscillations from periods of 73 days up to periods of about 40 days are the most significant day-to-day temperature oscillations and have zonal wavenumber zero. Their periods and phases are in good correspondence with those of the MLS and SABER ones. We also show some results which demonstrate that at 56°N the FWHM method is not as robust as the gradient method.     

Connection between winter mesopause region temperatures and diurnal LF reflection height variations measured at Collm

Scale height, H, estimates are calculated from the decrease/increase of ionospheric virtual reflection heights of low-frequency (LF) radio waves at oblique incidence in suitably defined morning intervals around sunrise during winter months. The day-to-day variations of H qualitatively agree with daily mean temperature variations around 90 km from meteor radar measurements. Since mesospheric long-period temperature variations are generally accepted to be the signature of atmospheric planetary waves, this shows that LF reflection height measurements can be used for monitoring the dynamics of the upper middle atmosphere. The long-term variations of monthly mean H estimates have also been analysed. There is no significant trend, which is in agreement with other measurements of mesopause region temperature trends.     

电大尺寸开口腔体RCS的SBR并行计算

文章利用消息传递协议MPI开发了针对电大尺寸开口腔体单站雷达截面(RCS)的射线弹跳法(SBR)并行计算程序。程序采用按照RCS计算角度间隔分配计算任务的大粒度并行计算方法,取得了较高的并行计算效率,大大减少了电大尺寸开口腔体的RCS计算时间。算例计算结果与文献吻合良好。     

太赫兹雷达信号无源侦察技术研究

简要介绍太赫兹波的特性和性能,概述了太赫兹技术在雷达领域的主要应用及技术特点.提出太赫兹雷达信号无源侦察系统的原理框图,讨论太赫兹源、太赫兹混频器和太赫兹滤波器等主要太赫兹器件,分析太赫兹雷达信号无源侦察的关键技术.     

涂敷目标RCS数值分析与并行计算研究

进行了矩量法在计算涂敷目标雷达散射截面方面的研究.详细推导了将RWG基作为基函数时,任意涂敷目标的电磁流方程表达式.鉴于矩量法计算量过大,耗时太长,使分析与优化遇到实质性的困难,结合RWG基函数特点,在对具体的矩阵方程求解时采用了并行处理.通过计算结果和精确结果对比,证明了此种方法的准确性和有效性,同时并行方法的使用大大降低了计算时间.     

雷达中的分布式计算机系统

通过对雷达中信息流的分析研究，提出雷达中的分布式计算机系统可由分布式的管理系统和分布式的数据处理系统两者综合而成这一设计思路。其中，两极层次结构的分布式管理系统适用于要求集中监控的雷达管理，而滑窗－流水作业的分布式数据处理系统能适应对多批目标的实时处理。     

雷达信号时差频差定位关键技术研究

雷达信号时差频差定位是当前电子战领域内的热点研究课题.对其中的关键技术进行分析研究,重点讨论频差精确测量方法,对工程实现的有关问题做了初步分析,并提出了可能的解决途径.     

ISAR干扰及干扰效果评估技术

描述了逆合成孔径雷达（ISAR）干扰技术、干扰评估技术的发展历程与现状,分析了ISAR干扰技术存在的问题,展望了这两种技术的发展趋势。