Expeditious diagnosis of linear array failure using support vector machine with low-degree polynomial kernel

In modern electronic warfare, rapid failure detection of malfunctioning antenna elements followed by swift remedial action is crucial to the success of any military action in the battlefield. Driven by the need for more efficient detection techniques, a fast support vector machine classifier using low-degree polynomial kernel is developed to expeditiously detect and locate the failed elements of an analogue uniform linear array (ULA). This method will work on any analogue linear array configuration with digitally controlled phase-shifters and amplifiers. The results for a ULA sample are illustrated to demonstrate its effectiveness.