Blind Source Separation Based on Combined Direction Finding and Constant Modulus Properties
نویسنده
چکیده
In the blind separation of instantaneous mixtures of multiple cochannel signals using an antenna array, two types of techniques have been used: based on properties of the array manifold, or based on properties of the signals. A well-studied example of the first type is the ESPRIT algorithm, which exploits the parametric structure of the array manifold. A representative of the second type is ACMA, which gives algebraic expressions for the separation of sources based on their constant modulus property, valid for phase-modulated sources. In this paper, we show that the two properties can be combined into a single algorithm.
منابع مشابه
Asymptotic properties of the algebraic constant modulus algorithm
The algebraic constant modulus algorithm (ACMA) is a noniterative blind source separation algorithm. It computes jointly beamforming vectors for all constant modulus sources as the solution of a joint diagonalization problem. In this paper, we analyze its asymptotic properties and show that (unlike CMA) it con verges to the Wiener beamformer when the number of samples or the signal-to-noise rat...
متن کاملDirection-of-arrival estimation for constant modulus signals
In many cases where direction finding is of interest, the signals impinging on an antenna array are known to be phase modulated and, hence, to have a constant modulus (CM). This is a strong property; by itself, it is already sufficient for source separation and can be used to construct improved direction finding algorithms. We first derive the relevant Cramér–Rao bounds (CRB’s) for arbitrary ar...
متن کاملAsymptotic behavior of ACMA
The algebraic constant modulus algorithm (ACMA) is a noniterative blind source separation algorithm. It computes jointly beamforming vectors for all constant modulus sources as the solution of a joint diagonalization problem. In this paper we analyze its asymptotic properties and show that (unlike the iterative CMA) it converges to the Wiener solution in samples or SNR. We also sketch its conne...
متن کاملBlind Voice Separation Based on Empirical Mode Decomposition and Grey Wolf Optimizer Algorithm
Blind voice separation refers to retrieve a set of independent sources combined by an unknown destructive system. The proposed separation procedure is based on processing of the observed sources without having any information about the combinational model or statistics of the source signals. Also, the number of combined sources is usually predefined and it is difficult to estimate based on the ...
متن کاملBlind source separation of instantaneous MIMO systems based on the least-squares Constant Modulus Algorithm
Blind symbol detection for mobile communications systems has been widely studied and can be implemented by using either adaptive or iterative techniques. However, adaptive blind algorithms require data of sufficient length to converge. Therefore, in a rapidly changing environment, they are likely unable to track the changing channels. In such a situation, one possible solution is to use iterati...
متن کامل