{'fraction_non_alphanumeric': 0.019455252918287938, 'fraction_numerical': 0.0, 'mean_word_length': 5.03125, '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}}
A fast CUM-m-Capon algorithm for DOA estimation based on fourth-order cumulant

The problem of super-resolution DOA estimation in very low SNR has attracted much interest for decades. In this paper we proposed a fast DOA estimation algorithm based on fourth-order cumulant for MIMO system radar. Combining with the average matrix dimension reduction technique the proposed CUM-m-Capon DOA estimation algorithm can achieve improved performance of DOA estimation. From Matlab simulation result, we can see that the proposed algorithm has a high resolution at low SNR. After adopting the average dimension reduction technique, the complexity of the algorithm is lower. The test using measured data shows that the proposed method could achieve better accuracy and robustness.