CAJ | 학술논문

在利用搜索算法进行振动目标定位时，由于环境复杂性和干扰源频发性，导致时延差测量的一致性差，甚至出现粗大误差，且粗大误差出现的概率急增，而粗大误差的出现严重影响搜索算法的精度和收敛速度。针对这一问题，提出了一种基于粗大时延误差灰色判别和泰勒级数展开的定位搜索算法。算法根据灰色绝对关联度和信号的信噪比确定各个传感器的信度，然后从多个传感器中选择3个信度高的传感器进行定位，估计出振源坐标的初值，据此计算出各传感器的时延差，并与测量时延差作差值，得到多传感器的时延误差序列，再利用粗大误差灰色判别规则，判断并剔除粗大时延误差，最后，利用泰勒级数展开迭代搜索法确定振源位置。该算法能有效提高搜索速度和定位精度，增强了抗干扰能力。
재이용수색산법진행진동목표정위시，유우배경복잡성화간우원빈발성，도치시연차측량적일치성차，심지출현조대오차，차조대오차출현적개솔급증，이조대오차적출현엄중영향수색산법적정도화수렴속도。침대저일문제，제출료일충기우조대시연오차회색판별화태륵급수전개적정위수색산법。산법근거회색절대관련도화신호적신조비학정각개전감기적신도，연후종다개전감기중선택3개신도고적전감기진행정위，고계출진원좌표적초치，거차계산출각전감기적시연차，병여측량시연차작차치，득도다전감기적시연오차서렬，재이용조대오차회색판별규칙，판단병척제조대시연오차，최후，이용태륵급수전개질대수색법학정진원위치。해산법능유효제고수색속도화정위정도，증강료항간우능력。
When the search algorithms is used to target positioning vibration,due to the environmental complexity and frequent interference sources,it leads to the consistency of measuringtime delay difference is poor,appears even the gross error,and the emergence probability of gross error is shock and serious influence the search precision and convergence speed of the algorithm.In order to solve this problem,this research puts forward the positioning searching algorithm based on gross time delay error grey discrimination and Taylor’s series expansion localization algorithm.Firstly this algorithm confirms the credible degree of each sensor according to the SNR (signal-noise-ratio )of signals and gray absolute correlation degree,and then it chooses three sensors with high credible degree to locate the position and estimate the initial value of the source coordinates.Time delay error is calculated for each sensor and it is made difference with the measurement time delay differential.The gross time delay error gray discriminate rule is used to eliminate the gross time delay error.Finally the Taylor’s series iteration searching method is used to determine the source location. Experimental results show that this method can effectively improve the search speed positioning precision and anti-interference ability of the vibration source.