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A new robust adaptive beamforming method against array imperfections and uncertainties

机译:一种针对阵列缺陷和不确定性的鲁棒自适应波束形成新方法

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The performance of the general adaptive array beamforming algorithm is known to declined severely in the presence of array imperfections and uncertainties. So the robustness of adaptive array beamforming techniques against uncertainties is one of the important issues. In the situation of array amplitude and phase errors, signal steering errors and other data mismatch, this paper put forward a new method. This new algorithm can enhance the desired signal and suppress the interference signals simultaneity. The new algorithm estimates the power of desired signal by oblique projection property to add some interference signals. Interference signal has the same power. It is different from other methods. So this processing is specially suit to the situation of the difference power between the desired and interference signal. This technique is presented to widen null of array pattern stably. The performance in the present of array amplitude and phase errors and signal steering errors is assured by the uncertain range restriction. Certainly, this optimization with some restriction can be solved by the lagrange method. The iterative weight vector is proved to be convergent. The new algorithm is not complex. Its validity and superiority are proved by simulation results as compared with the general adaptive array beamforming algorithms.
机译:已知在存在阵列缺陷和不确定性的情况下,通用自适应阵列波束成形算法的性能会严重下降。因此,自适应阵列波束形成技术针对不确定性的鲁棒性是重要的问题之一。在阵列幅度和相位误差,信号转向误差等数据不匹配的情况下,提出了一种新的方法。这种新算法可以增强所需信号并抑制干扰信号的同时性。新算法通过倾斜投影特性添加一些干扰信号来估计所需信号的功率。干扰信号具有相同的功率。它不同于其他方法。因此,该处理特别适合于所需信号和干扰信号之间功率差的情况。提出该技术以稳定地扩宽阵列图案的零点。不确定的范围限制确保了当前阵列幅度和相位误差以及信号控制误差的性能。当然,可以通过拉格朗日方法来解决此优化问题。迭代权向量被证明是收敛的。新算法并不复杂。与常规自适应阵列波束形成算法相比,仿真结果证明了其有效性和优越性。

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