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Table 14 PHD algorithm

From: A unified approach to sparse signal processing

1. Given the model order k (number of sinusoids), find the autocorrelation matrix of the noisy observations with dimension k + 1(R y y ).

2. Find the smallest eigenvalue (σ2) of R y y and the corresponding eigenvector (H).

3. Set the elements of the obtained vector as the coefficients of the polynomial in (46). The roots of this polynomial are the estimated frequencies.