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Efficient source positioning method based on two stations using GROA and AOA measurements

机译:基于两个站的高效源定位方法,基于GROA和AOA测量的两个站

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By utilising the gain ratio of arrival (GROA) and angles of arrival (AOAs), three-dimensional source localisation with only two stations is studied. The weighted least squares (WLS) algorithm yields the typical closed-form solution, which is obtained by first establishing a set of linear equations and then determining the source position. However, the WLS solution exhibits poor performance at high noise levels. Hence, an efficient parameter augmented constraint method is proposed by extending the parameter space. The proposed method minimises the cost function by imposing a quadratic constraint such that the expectation of the cost function will attain its minimum value at the true solution. In addition, the proposed method yields an explicit algebraic solution and does not depend on a good initial guess; thus, there is no convergence problem. Theoretical analysis and simulation results verify the effectiveness of the proposed method.
机译:通过利用到达的增益比(GENA)和到达的角度(AOAS),研究了仅具有两个站的三维源定位。加权最小二乘(WLS)算法产生典型的闭合溶液,其通过首先建立一组线性方程来获得,然后确定源位置。然而,WLS解决方案在高噪声水平下表现出差的性能。因此,通过扩展参数空间来提出有效的参数增强约束方法。该方法通过强加二次约束使得成本函数最小化,使得成本函数的期望将在真实解决方案中获得其最小值。此外,所提出的方法产生明确的代数解决方案,不依赖于良好的初始猜测;因此,没有收敛问题。理论分析和仿真结果验证了该方法的有效性。

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