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Compressed Sensing for Multistatic Radar Systems with Arbitrary Block Codes

机译:具有任意分组码的多基地雷达系统的压缩传感

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Multistatic radar systems with multiple elements at transmitting and/or receiving side permit multiple target observations from different viewpoints providing various advantageous. In an environment with multiple transmitters the emitters may transmit independent waveform or use a coding structure to emit pulses across antennas over a predetermined coherent time-interval. In this work we extend the principles of employing orthogonal block codes for this purpose and emphasize on arbitrary or randomly designed block codes with a compressed sensing based detection at receiver. By employing a compressed sensing approach only a subset of incoming data needs to be stored and processed thus significantly reducing the sampling and integration requirement at the receivers. We show that the use of more general type of block codes allows for greater flexibility and better performance in target detection and are hence more suitable for compressed sensing methods than orthogonal, or quasi-orthogonal, block codes. Through simulations it is validated that such a system can operate well and compressed sensing techniques allow for data reduction and improved detection with a shorter dwell period.
机译:在发射和/或接收侧具有多个元件的多基地雷达系统允许从不同的角度进行多个目标观测,从而提供各种优势。在具有多个发射器的环境中,发射器可以发射独立的波形或使用编码结构在预定的相干时间间隔内跨天线发射脉冲。在这项工作中,我们扩展了为此目的采用正交分组码的原理,并强调了在接收器处基于压缩感测的任意或随机设计的分组码。通过采用压缩感测方法,仅需要存储和处理输入数据的子集,从而显着降低了接收器的采样和积分要求。我们表明,使用更通用的类型的分组码可以在目标检测中提供更大的灵活性和更好的性能,因此比正交或准正交的分组码更适合于压缩感测方法。通过仿真,可以验证这样的系统可以很好地运行,而压缩传感技术可以减少数据并以较短的停留时间改善检测效果。

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