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首页> 外文期刊>Radar, Sonar & Navigation, IET >Joint frequency and two-dimensional direction of arrival estimation for Electronic Support systems based on sub-Nyquist sampling
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Joint frequency and two-dimensional direction of arrival estimation for Electronic Support systems based on sub-Nyquist sampling

机译：基于亚奈奎斯特采样的电子支持系统联合频率和二维到达方向估计

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摘要

The electronic support (ES) receivers require wide instantaneous bandwidth as a result of a wide-frequency range of modern radar signals. Thus, analogue-to-digital converters (ADCs) with high sampling rates are required for digital ES receivers. One of the bottlenecks in designing such systems is the high power consumption of the back-end ADCs at high sampling rates. In this study, a system-level approach with the goal of minimising the required digitisation rate is presented by exploiting compressive sampling. Using the proposed receiver structure, the location finding of pulsed radars in wideband scenarios is studied. To fulfil the need for frequency and position finding, the proposed receiver employs a three-dimensional antenna array, followed by radio-frequency back-end and ADC blocks, inspired by the modulated wideband converter technique. Furthermore, an algorithm based on Bayesian compressed sensing, incorporating off-grid techniques, is employed to jointly estimate the azimuth and the elevation angles of incoming signals, as well as their carrier frequencies. Simulation results are provided to support the theoretical results obtained in this study. The results show that the proposed off-grid Bayesian method has a significantly lower mean square estimation error than the conventional deterministic approaches, while its average computation complexity can be reduced in multi-snapshot scenarios.
机译：由于现代雷达信号的频率范围很广，电子支持（ES）接收器需要很宽的瞬时带宽。因此，数字ES接收器需要具有高采样率的模数转换器（ADC）。设计此类系统的瓶颈之一是后端ADC在高采样率下的高功耗。在这项研究中，以压缩采样为基础，提出了一种以最小化所需数字化速率为目标的系统级方法。使用提出的接收器结构，研究了宽带情况下脉冲雷达的定位。为了满足对频率和位置查找的需求，受调制宽带转换器技术的启发，拟议中的接收机采用三维天线阵列，后接射频后端和ADC模块。此外，基于贝叶斯压缩传感的算法结合了离网技术，可以共同估算入射信号的方位角和仰角以及它们的载波频率。提供仿真结果以支持本研究中获得的理论结果。结果表明，与传统的确定性方法相比，提出的离网贝叶斯方法具有明显更低的均方估计误差，而在多快照场景中，其平均计算复杂度可以降低。

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