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High-dimensional robust nested parallel streaming adaptive processor
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作者 WU Gang HUANG Zhongping LEI Zhiyong 《Journal of Systems Engineering and Electronics》 2026年第2期431-444,共14页
The paper presents a full-exchange streaming adaptive processor architecture with nested parallel sampling covariance matrix estimation and adaptive weight computation,to achieve polarization-space-time adaptive proce... The paper presents a full-exchange streaming adaptive processor architecture with nested parallel sampling covariance matrix estimation and adaptive weight computation,to achieve polarization-space-time adaptive processing(P-STAP),adaptive digital beamforming(ADBF)and multiple side-lobe canceller(MSLC)within a configurable computational framework.An effective method for real-time numerical calculation is proposed by reducing truncation errors,ensuring robust convergence,and low time complexity through the lower-diagnoal-lower transpose(LDLT)right multiplication iterative(LDLT-RMI)method.To fully implement P-STAP for high-intensity interference clutter adaptive robust suppression,a series of intellectual property(IP)cores are designed for high-order,high-condition symmetric positive definite matrix inversion.The adaptive processor can operate on a frame-structured data flow,accommodating various space-time-frequency-polarization multi-domain combinations,which supports 8 to 100 channels with a dynamic range of up to 80 dB.Even the interferences reach a high intensity of 65 dB,the adaptive processor can still work stably. 展开更多
关键词 nested parallel streaming adaptive processing(P-STAP) configurable computational framework polarizationspace-time adaptive processing high-order high-condition matrix inversion
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