{'fraction_non_alphanumeric': 0.022298456260720412, 'fraction_numerical': 0.0, 'mean_word_length': 5.207446808510638, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Interference suppression using knowledge-aided subarray pattern synthesis

Phased array systems often subarray many antenna elements into far fewer digitized channels. While having more degrees of freedom (DOF) yields better performance, adding channels to create more digital DOF increases system cost and data throughput requirements. A subarray itself constitutes a phased array with as many DOF as it has antenna element weights. Typically, only one degree of freedom is specified to steer the maximum gain direction of the subarray pattern. For typical antenna geometries a single subarray will provide many more spatial DOF than there are digitized channels. The inherent DOF of the subarrays could be used to mitigate selected interference signals with the subarray pattern if the antenna manifold, the angle of arrival (AOA), and the power of interference sources at the array face are known (i.e., Knowledge-Aided (KA)). The AOA and power estimates can then be used to synthesize an adapted subarray pattern to null interference, preserving digital DOF for other purposes. Simulations are used to illustrate the implementation for a simple antenna scenario.