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Multiobjective optimal waveform design for OFDM integrated radar and communication systems

机译:OFDM集成雷达和通信系统的多目标最优波形设计

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摘要

Integrated radar and communication; Multiobjective optimization; Orthogonal frequency division multiplexing, Channel capacity; Transmit power adaptation%To improve the availability of limited spectral resources and construct a cost-efficient platform simultaneously performing both radar and communication functions, the orthogonal frequency division multiplexing (OFDM) integrated radar and communication system (IRCS), which is referred to as OFDM-IRCS, is provided. For the frequency sensitive target and frequency selective fading channel, it is able to improve the radar and communication performance by efficiently employing the limited transmit power in the OFDM-IRCS. To this end, we propose two optimal waveform design methods that meet different users’ demands. First, the Cramér-Rao bounds (CRBs) for estimating range, velocity and target scattering coefficients with integrated OFDM waveform are derived. And the channel capacity in communication is formulated. Then, the multiobjective optimization problem is devised, and the adaptive weighted-optimal and Pareto-optimal waveform design approaches are proposed to simultaneously improve the estimation accuracy of range and velocity in radar and the channel capacity in communication. Finally, several numerical examples are presented to demonstrate the effectiveness of the proposed design methods.
机译:集成雷达和通信;多目标优化;正交频分复用,信道容量;发射功率自适应%为了提高有限频谱资源的可用性并构建同时执行雷达和通信功能的经济高效平台,正交频分复用(OFDM)集成雷达和通信系统(IRCS),称为OFDM提供了-IRCS。对于频率敏感的目标和频率选择性衰落信道,它可以通过在OFDM-IRCS中有效利用有限的发射功率来提高雷达和通信性能。为此,我们提出了两种可以满足不同用户需求的最佳波形设计方法。首先,推导用于估计距离,速度和目标散射系数的Cramér-Rao边界(CRB),并具有集成的OFDM波形。并制定了通信信道容量。然后,设计了多目标优化问题,提出了自适应加权最优和帕累托最优波形设计方法,以同时提高雷达测距和速度的估计精度以及通信信道的容量。最后,给出了几个数值示例,以证明所提出的设计方法的有效性。

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  • 来源
    《Signal processing》 |2017年第12期|331-342|共12页
  • 作者单位

    National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi, China;

    National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi, China;

    National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi, China;

    National Laboratory of Radar Signal Processing, Xidian University, Xi'an, Shaanxi, China;

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