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    • 1. 发明授权
    • Target engagement system for determining proximity to a target
    • 用于确定与目标的接近度的目标参与系统
    • US5067096A
    • 1991-11-19
    • US582574
    • 1990-09-14
    • David P. OlsonJonathan C. Werder
    • David P. OlsonJonathan C. Werder
    • F42C13/06G01S3/807G01S3/808G01S11/14
    • G01S11/14F42C13/06G01S3/807G01S3/808
    • A target engagement system uses target motion analysis to determine a target engagement decision for ground targets, such as vehicles. The input to the engagement system is the target azimuth as a function of time. A detect algorithm issues and records a detect azimuth when confirmation is made that a valid target is being tracked and legitimate azimuth information is being provided. The engagement algorithm then begins and records the time intervals it takes for the target to cross two sectors, each covering 20.degree. and separate by 10.degree.. Thus, first time interval is measured from detect azimuth to 20.degree. after detect azimuth, and the second time interval is measured from 30.degree. after detect azimuth to 50.degree. after detect azimuth. When the first and second time intervals have been recorded, the ratio of the first time interval to the second time interval is calculated. If this ratio is greater than 2.0, then the target is estimated to be within range and is subsequently attacked. Otherwise, the target is greater than the range and no action is taken.
    • 目标参与系统使用目标运动分析来确定地面目标(如车辆)的目标参与决策。 接合系统的输入是作为时间的函数的目标方位角。 当确认正在跟踪有效目标并且正在提供合法的方位信息时,检测算法发出并记录检测方位角。 然后,参与算法开始并记录目标跨越两个扇区所需的时间间隔,每个扇区覆盖20°并分隔10°。 因此,在检测方位角后,从检测方位角到20°测量第一时间间隔,第二个时间间隔从检测方位角后的30°测量到方位角后测量到50°。 当记录了第一和第二时间间隔时,计算第一时间间隔与第二时间间隔的比率。 如果该比例大于2.0,则目标估计在范围内并随后被攻击。 否则,目标大于范围,不采取任何行动。
    • 2. 发明授权
    • Target tracking system for determining bearing of a target
    • 用于确定目标的方位的目标跟踪系统
    • US5095467A
    • 1992-03-10
    • US582571
    • 1990-09-14
    • David P. OlsonJonathan C. Werder
    • David P. OlsonJonathan C. Werder
    • G01S3/801G01S3/805
    • G01S3/805G01S3/801
    • A passive acoustic target tracking system includes three microphones arrayed respectively at corners of an equilateral triangle for sensing acoustic energy emitted by a target, such as a heavy vehicle, and generating separate streams of analog signals representative of the acoustic energy sensed at the triangle corners. Hardware of the tracking system receives the separate streams of analog signals from the microphones and conditions and converts the separate streams of analog signals from analog to digital form and outputs the separate streams as digital signals. Software of the tracking system receives the separate streams of digital signals and provides the bearing to the target emitting the sensed acoustic energy. The software includes a minimum residual correlation algorithm and a two-state kalman filter algorithm. The minimum residual correlation algorithm receives the separate streams of digital signals, performs correlations on the separate streams from pairs of the microphones, and produces a raw azimuth signal as a result of the correlation. The two-state kalman filter algorithm receives the raw azimuth signal, performs a two-state kalman filtering of the raw azimuth signal, and produces a smooth azimuth signal constituting the bearing to the target emitting the sensed acoustic energy.
    • 无源声目标跟踪系统包括分别排列在等边三角形的拐角处的三个麦克风,用于感测由诸如重型车辆的目标发出的声能,并且产生代表在三角形拐角处感测到的声能的单独的模拟信号流。 跟踪系统的硬件从麦克风接收单独的模拟信号流和条件,并将单独的模拟信号流从模拟形式转换为数字形式,并将单独的流作为数字信号输出。 跟踪系统的软件接收单独的数字信号流,并向发射感测声能的目标提供支撑。 该软件包括最小残差相关算法和双状态卡尔曼滤波算法。 最小残差相关算法接收单独的数字信号流,在与麦克风对成对的单独流上执行相关性,并产生作为相关结果的原始方位信号。 双状态卡尔曼滤波算法接收原始方位信号,对原始方位信号进行双状态卡尔曼滤波,并产生构成对发射感测声能的目标的方位角的平滑方位信号。