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| Citation: | YAN Linjie, HAO Chengpeng, YIN Chaoran, et al. Modified generalized likelihood ratio test detection based on a symmetrically spaced linear array in partially homogeneous environments[J]. Journal of Radars, 2021, 10(3): 443–452. doi: 10.12000/JR20140
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Modified Generalized Likelihood Ratio Test Detection Based on a Symmetrically Spaced Linear Array in Partially Homogeneous Environments
DOI: 10.12000/JR20140
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Abstract
To address the problem of detecting point-like targets in a partially homogeneous Gaussian cluttered environment, we developed a modified Generalized Likelihood Ratio Test (GLRT) detection method based on a symmetrically spaced linear array that relies on a GLRT design criterion. Considering the target energy spillover during sampling, we use a spillover model of the target energy to decrease spillover loss. To establish the discrete-time signal mode, we use a persymmetric structure of the disturbance covariance matrix to reduce the requirement for auxiliary signals. Lastly, we estimate all of the unknown parameters based on a consideration of both primary and secondary data to derive the persymmetric modified GLRT detector, which has good target detection and range estimation performance. The performance assessment shows that the proposed method not only performs as a constant false-alarm-rate receiver in partially homogeneous environments but also guarantees superior detection performance relative to that of its competitors. In sample-starved environments, compared with other detection methods of the same type, it realizes a detection performance advantage greater than 1 dB. -
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References
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Figure 1.
${P_{\rm{fa}}}$ $\gamma $ -
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${P_{\rm{fa}}}$ $\rho $ - Figure 3. Detection and range estimation performance with small number of auxiliary samples
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${P_{\rm{d}}}$ $\gamma $ -
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${P_{\rm{d}}}$ $\gamma $ -
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${\delta _{\rm{rms}}}$ $\gamma $ -
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${\delta _{\rm{rms}}}$ $\gamma $ - Figure 8. Detection and range estimation performance with sufficient number of auxiliary samples