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Blind multipath separation for waveform recovery

机译:盲多径分离,恢复波形

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The separation of multipath signal components by spatial filtering in a narrowband antenna array is addressed for cases where diffuse scattering and array calibration errors may cause the spatial signatures of the received propagation modes to deviate significantly from the plane-wave array manifold. The distorted wavefronts may have complex spatial signatures that are difficult to accurately characterize and mutually resolve on the basis of array manifold models described by few parameters. Furthermore, the temporal signature of the source waveform may also be quite arbitrary, with no known deterministic or statistical properties that can be utilized for multipath separation. This problem calls for blind waveform estimation methods that rely on relatively mild assumptions. An alternative blind spatial filtering technique referred to as the Generalized Estimation of Multipath Signals algorithm, or GEMS, is introduced for this purpose and tested on experimental data provided by the high frequency (HF) radar program of the Defence Science and Technology Organization (DSTO), Australia.
机译:针对漫射散射和阵列校准误差可能导致接收的传播模式的空间特征明显偏离平面波阵列歧管的情况,解决了在窄带天线阵列中通过空间滤波分离多径信号分量的问题。扭曲的波阵面可能具有复杂的空间特征,这些特征很难在很少参数描述的阵列流形模型的基础上准确表征和相互解析。此外,源波形的时间特征也可以是任意的,没有可用于多径分离的已知确定性或统计性。该问题需要依赖相对温和假设的盲波形估计方法。为此,引入了另一种称为“多径信号通用估计”算法的通用盲空间滤波技术,即GEMS,并在由国防科学技术组织(DSTO)的高频(HF)雷达程序提供的实验数据上进行了测试。 , 澳大利亚。

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