Methods used to estimate the Angles of Arrival (AoA) of signals at a base station can be generally classified into two categories.
MUSIC (Multiple Signal Classification) is one of the methods based on subspace estimation that can be used to estimate the angles of arrival of multiple impinging signals. In this method array of antenna elements is used, all the impinging wave fronts are recorded on all antennas and processed to find out the angles of arrival. Maximum number of impinging wave fronts that can distinguished using this method is given by M-1, where M is the number of elements in the antenna array. The reason is that this method is based on Noise Subspace and we need at least one vector for noise subspace to exist, which is made sure when the number of impinging wave fronts is at least one less than the number of antenna elements in the array.
- Maximum Likelihood Based Algorithms
- Subspace Estimation Based Algorithms
MUSIC (Multiple Signal Classification) is one of the methods based on subspace estimation that can be used to estimate the angles of arrival of multiple impinging signals. In this method array of antenna elements is used, all the impinging wave fronts are recorded on all antennas and processed to find out the angles of arrival. Maximum number of impinging wave fronts that can distinguished using this method is given by M-1, where M is the number of elements in the antenna array. The reason is that this method is based on Noise Subspace and we need at least one vector for noise subspace to exist, which is made sure when the number of impinging wave fronts is at least one less than the number of antenna elements in the array.
No comments:
Post a Comment