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Range Information and Amplitude-phase Information for Multi-carrier Radar Systems

机译:多载波雷达系统的距离信息和幅度相位信息

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This paper considers the problem of information extraction for single target with complex additive white Gaussian noise in general multi-carrier radar systems based on the range information (RI) and amplitude-phase information (API). First, the total information of the systems can be formulated as the mutual information (MI) between the receiving signals and jointly the range vector and amplitude-phase vector. Second, the total MI is the sum of the RI and the API, where the API is dependent on RI. Meanwhile, the expressions of RI and the API are derived in a constant reflection coefficient scenario. Furthermore, a closed-form approximation of RI is obtained in high signal to noise ratio (SNR), which is proportional to the root mean square bandwidth, SNR and detection time. The variance for range estimation is identical to the Cramér-Rao bound (CRB) and approximation results in high SNR. Numerical simulations are presented to validate the proposed theory, and shown the maximum likelihood estimation result is equivalent to the theoretical results and approximation in high SNR.
机译:本文基于距离信息(RI)和幅度相位信息(API),考虑了一般多载波雷达系统中具有复杂加性高斯白噪声的单目标信息提取问题。首先,可以将系统的总信息表述为接收信号之间的互信息(MI),以及范围矢量和幅度相位矢量的共同信息。其次,总MI是RI和API的总和,其中API依赖于RI。同时,在恒定反射系数的情况下,推导了RI和API的表达式。此外,在高信噪比(SNR)中获得RI的闭式近似值,它与均方根带宽,SNR和检测时间成正比。范围估计的方差与Cramér-Rao界限(CRB)相同,并且近似会导致较高的SNR。通过数值模拟验证了所提出的理论,并表明最大似然估计结果与理论结果和高信噪比下的近似值相等。

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