CAJ | 학술논문

被动声传感器网络中多目标跟踪经常会出现错误关联(虚假定位点)。为了去除该定位点，提出了一种基于广义三角定位去除问题的新方法。利用灰色关联理论对声探测阵接收到的不同目标的乱序角度信息进行重新排序，获得正确的角度次序。通过基于角度关联预处理算法的时段匹配三角定位法获取不同目标最可能的位置。然后利用本文提出的假设和第三站验证方法对虚假定位点进行剔除。仿真数据和实际试验数据验证了所提出方法的有效性。
피동성전감기망락중다목표근종경상회출현착오관련(허가정위점)。위료거제해정위점，제출료일충기우엄의삼각정위거제문제적신방법。이용회색관련이론대성탐측진접수도적불동목표적란서각도신식진행중신배서，획득정학적각도차서。통과기우각도관련예처리산법적시단필배삼각정위법획취불동목표최가능적위치。연후이용본문제출적가설화제삼참험증방법대허가정위점진행척제。방진수거화실제시험수거험증료소제출방법적유효성。
This paper addresses the false association (called ghosts) problem of multi-target tracking in a distributed passive acoustic sensor network. To eliminate these ghosts, a new deghosting scheme based on the generalized triangu-lation has been proposed. First, the received angle information of different targets is reordered by using the gray theory to obtain the correct sequence. Successively, time span match triangulation based on pretreatment algorithm of angle as-sociation is used to get the most-likely positions of different targets. Finally, the residual ghosts are cancelled by using a reasonable hypothesis and third site notarization. The validity of the proposed scheme is evaluated by both simulation and experimental results.