Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
566446 | Signal Processing | 2014 | 7 Pages |
•The new method avoids estimating the whole sample covariance matrix and its EVD.•The new method is more computationally efficient than the conventional methods.•The new DOA estimation method has a very high estimation accuracy.•The asymptotic variances of the proposed method are derived in this paper.
A low-complexity ESPRIT algorithm for direction-of-arrival (DOA) estimation is devised in this work. Unlike the conventional subspace based methods, the proposed scheme only needs to calculate two sub-matrices of the sample covariance matrix, that is, R11∈CK×KR11∈CK×K and R21∈C(M−K)×KR21∈C(M−K)×K, avoiding its complete computation. Here, M is the number of sensors of the array, K satisfies P≤K≤min(M,N)P≤K≤min(M,N) with P being the number of source signals and N being the number of snapshots. Meanwhile, a Nyström-based approach is utilized to correctly compute the signal subspace which only requires O(MK2)O(MK2) flops. Thus, the proposed method has the advantage of computational attractiveness, particularly when K⪡MK⪡M. Furthermore, we derive the asymptotic variances of the estimated DOAs. Numerical results are included to demonstrate the effectiveness of the developed DOA estimator.