Evaluating target measurement performance is significant for the design and application of distributed multiple-input multiple-output (MIMO) radar. Existing research into the target measurement performance was mostly conducted under ideal conditions. In practice, however, distributed MIMO radar may inevitably suffer from the system errors in time sync, frequency sync, and beam pointing as well as the uncertainties in sensor positions. These nonideal factors may lead to a degradation of the target estimation performance to some extent, and this joint impact remains unclear. Motivated by this, in this article, we systematically explore the target measurement performance of distributed MIMO radar under nonideal conditions. First, we formulate a general system model for distributed MIMO radar incorporating the errors in time sync, frequency sync, sensor position, and beam pointing. By treating these system errors as Gaussian random variables, we form the hybrid Cramér-Rao Bound (HCRB) for the joint estimation of the target parameters and these errors. The derived HCRB is shown to be effective in lower bounding the mean-square error (MSE) of the hybrid maximum likelihood/maximum a posteriori (ML/MAP) estimate. Therefore, this bound can be used as an asymptotic benchmark or metric of the radar performance in target measurement. Based on the HCRB, we also examine the effects of these nonideal factors on the target measurement performance by simulations. The results offer some perspective on the relationships between the system tolerances for these system errors and the radar parameters; these findings will be helpful in the system design of distributed MIMO radar.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Target Measurement Performance of Distributed MIMO Radar Systems Under Nonideal Conditions


    Contributors:


    Publication date :

    2024-02-01


    Size :

    2546169 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Target Detection Performance of Distributed MIMO Radar Systems Under Nonideal Conditions

    Liang, Yuanyuan / Wen, Gongjian / Zhu, Lingxiao et al. | IEEE | 2024


    An Intelligent Anti-Interference Scheme for FDA-MIMO Radar Under Nonideal Condition

    Ding, Zihang / Xie, Junwei / Lan, Lan et al. | IEEE | 2024


    Persymmetric adaptive target detection with distributed MIMO radar

    Jun Liu / Hongbin Li / Himed, Braham | IEEE | 2015


    Target detection in distributed MIMO radar with registration errors

    Qinzhen Hu / Hongtao Su / Shenghua Zhou et al. | IEEE | 2016