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A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition

机译:用于雷达脉冲信号采集的压缩传感参数提取平台

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In this paper we present a complete (hardware/ software) sub-Nyquist rate ($times$ 13) wideband signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous bandwidth spanning 100 MHz–2.5 GHz with the equivalent of 8 effective number of bits (ENOB) digitizing performance. The approach is based on the alternative sensing-paradigm of compressed sensing (CS). The hardware platform features a fully-integrated CS receiver architecture named the random-modulation preintegrator (RMPI) fabricated in Northrop Grumman's 450 nm InP HBT bipolar technology. The software back-end consists of a novel CS parameter recovery algorithm which extracts information about the signal without performing full time-domain signal reconstruction. This approach significantly reduces the computational overhead involved in retrieving desired information which demonstrates an avenue toward employing CS techniques in power-constrained real-time applications. The developed techniques are validated on CS samples physically measured by the fabricated RMPI and measurement results are presented. The parameter estimation algorithms are described in detail and a complete description of the physical hardware is given.
机译:在本文中,我们提出了一个完整的(硬件/软件)次奈奎斯特速率(13美元)的宽带信号采集链,能够在100 MHz–2.5 GHz的瞬时带宽中获取雷达脉冲参数,等效于8个有效数。位(ENOB)数字化性能。该方法基于压缩感测(CS)的替代感测范式。该硬件平台具有完全集成的CS接收器体系结构,该体系结构采用Northrop Grumman的450 nm InP HBT双极技术制造,称为随机调制预积分器(RMPI)。该软件后端由新颖的CS参数恢复算法组成,该算法无需执行完整的时域信号重构即可提取有关信号的信息。这种方法显着减少了检索所需信息时涉及的计算开销,这证明了在功耗受限的实时应用中采用CS技术的途径。所开发的技术在由制造的RMPI物理测量的CS样品上得到了验证,并给出了测量结果。详细描述了参数估计算法,并给出了物理硬件的完整描述。

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