{'fraction_non_alphanumeric': 0.026022304832713755, 'fraction_numerical': 0.0, 'mean_word_length': 5.527272727272727, '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}}
New Approach to Angle Estimation for Bistatic MIMO Radar With Unknown Spatially Colored Noise

This paper provides an effective method for the joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in bistatic multiple-input multiple-output (MIMO) radar in the presence of unknown spatial colored noise. First, a temporal cross-correlation matrix is constructed to eliminate the spatially colored noise, which would not bring virtual aperture loss. To further utilize the inherent multidimensional structure, the covariance matrix is formulated into a quadrilinear decomposition model. Thereafter, an alternating least square algorithm is developed to approximate the loading matrices. Finally, DODs and DOAs can be easily obtained via the least squares fitting method. The proposed scheme can achieve automotive paired DODs and DOAs, and it has much better direction estimation performance than the existing methods. Besides, it does not require singular value decomposition of the array data. Numerical experiments verify the improvement of our scheme.