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中文摘要：
为了有效抑制高帧率水声同步定位系统面临的距离模糊问题,提高系统定位性能,基于方位参量不受距离模糊影响的特性,提出了基于差分进化和时延方位融合的解距离模糊方法.从参数估计的角度出发,建立最大似然准则下的时延方位融合定位优化模型.针对该非线性、多极值的复杂优化问题,采用差分进化算法求解.仿真分析表明,该方法优化模型中的方位约束条件有效限定了目标所在区域,降低了差分进化算法陷入局部最优解的危险,实现了大范围测量区域内运动目标的无模糊定位.系统海试结果验证了其抗距离模糊的有效性.
英文摘要：
To effectively suppress range ambiguity that may be experienced by synchronous underwater acoustic po?sitioning systems with a high frame rate and improve the systems′performance, considering that the measurement of a signal′s direction of arrival ( DOA) is unaffected by range ambiguity, in this study, we propose a range ambiguity resolution method based on differential evolution and time of arrival ( TOA) DOA fusion. With respect to parameter estimation, we construct the TOA?DOA fusion optimization model based on the maximum likelihood criterion. We solve the nonlinear multimodal optimization problem through differential evolution. Simulation results show that the constraint function effectively limits the area in which a target is located and suppresses the premature convergence of differential evolution. Thus, a target moving in a large scope can be located without ambiguity. Sea trial results demonstrate the effectiveness of this range?ambiguity?resistant method.
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