Spatial-temporal correlated sea clutter simulation based on the probability definition with extended samples for airborne radar

• Main Authors: Mao Huihuang, Xie Wenchong, Zhao Xinggang, Xia Saiqiang
• Format: Article
• Language: English
• Published: Wiley 2019-08-01
• Series: The Journal of Engineering
• Subjects: radar clutter; probability; airborne radar; ships; spatial-temporal correlation sea clutter suppression; radar system design; specific distribution form; probability definition; extended samples; 2-d correlated sea clutter; spatial-temporal correlated sea clutter simulation; detection performance; airborne early warning radar
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0470

Sea clutter is often examined to be of spatial-temporal correlation which highly affects the detection performance on ship targets for airborne early warning radar. Therefore, the performance of spatial-temporal correlation sea clutter suppression is of significance for assessing ability of radar and radar system design. This study proposes a new method to simulate spatial-temporal correlated sea clutter with specific distribution form. The new method is presented based on the probability definition with extended samples, and its core operation is the mapping without distorting the distribution form to obtain 2-D correlated sea clutter. Therefore, it is more effective with comparison of conventional zero memory non-linear transform and spherically invariant process. The effectivity of proposed method is verified by means of measured data and simulation data simultaneously.