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Direction-of-arrival estimation for wide-band signals using the ESPRIT algorithm

机译:使用ESPRIT算法估算宽带信号的到达方向

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摘要

A novel direction-of-arrival estimation algorithm is proposed that applies to wideband emitter signals. A sensor array with a translation invariance structure is assumed, and an extension of the ESPRIT algorithm for narrowband emitter signals is obtained. The emitter signals are modeled as the stationary output of a finite-dimensional linear system driven by white noise. The array response to a unit impulse from a given direction is represented as the impulse response of a linear system. The measured data from the sensor array can then be seen as the output of a multidimensional linear system driven by white noise sources and corrupted by additive noise. The emitter signals and the array output are characterized by the modes of the linear system. The ESPRIT algorithm is applied at the poles of the system, the power of the signals sharing the pole is captured, and the effect of noise is reduced. The algorithm requires no knowledge, storage, or search of the array manifold, as opposed to wideband extensions of the MUSIC algorithm. This results in a computationally efficient algorithm that is insensitive to array perturbations. Simulations are presented comparing the wideband and ESPRIT algorithm to the modal signal subspace method and the coherent signal subspace method.
机译:提出了一种新的到达方向估计算法,该算法适用于宽带发射器信号。假设具有平移不变结构的传感器阵列,并获得了ESPRIT算法对窄带发射器信号的扩展。发射器信号被建模为由白噪声驱动的有限维线性系统的固定输出。从给定方向对单位脉冲的阵列响应表示为线性系统的脉冲响应。然后,可以将来自传感器阵列的测量数据视为多维线性系统的输出,该多维线性系统由白噪声源驱动,并被加性噪声破坏。发射器信号和阵列输出由线性系统的模式表征。 ESPRIT算法应用于系统的极点,捕获共享极点的信号的功率,并降低了噪声的影响。与MUSIC算法的宽带扩展相反,该算法不需要了解,存储或搜索阵列流形。这导致对阵列扰动不敏感的计算有效算法。通过仿真比较了宽带算法和ESPRIT算法与模态信号子空间法和相干信号子空间法。

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