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The stability equation method and gain phase margin tester have been used to portray constant GM and PM boundaries.
Extensively, to further guarantee the system with certain robust safety margins, a virtual gain phase margin tester compensator is added.
Finally, a gain phase modifier (GPM) is proposed to form two closed loops to tune the gain and phase of the FFC adaptively and precisely.
We treat the important issue of robust WINGS processing, i.e. reducing the transformation's sensitivity to errors in the array manifold, such as sensor gain, phase and location errors.
Figure 5 ARMSE of gain, phase and position error estimates versus number of iterations.
Figure 4 ARMSE of gain, phase and position error estimates versue position error.
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Then the proposed algorithm reduces the gain-phase error matrix to a low dimensional one.
A virtual gain-phase margin tester compensator is incorporated to guarantee the concerned system with certain robust safety margins.
A virtual gain-phase margin tester compensator is incorporated to guarantee the concerned system satisfies certain robust safety margins.
Utilizing the gain-phase margin tester method, a specification-oriented parameter region in the parameter plane that characterizes all admissible controller coefficient sets can be obtained.
Finally, with the updated gain-phase error matrix, the FOC-based reweighted sparse representation framework is introduced to achieve accurate DOA estimation.
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