function [esti_ang_deg, P_MUSIC, test_ang_deg] = df_1D_MUSIC(snapshot, Ntarget, array_struct, fov_deg, unit_ang_deg , plot_flag)

% Number of Snapshots
Nsnap = size(snapshot, 2);

% Estimated Correlation matrix of X
Rx = (1/Nsnap) * (snapshot * snapshot');

% MUSIC algorithm
    % Eigen decomposition
    [Q, ~, ~] = svd(Rx);

    % Noise subspace
    Q_n = Q(:, Ntarget+1:end);

    % MUSIC algorithm
    test_ang_deg = -fov_deg : unit_ang_deg : fov_deg - unit_ang_deg;
    P_MUSIC = zeros(1, length(test_ang_deg));

    if size(array_struct.eff_ch_loc, 1) == 1
        array_struct.eff_ch_loc = array_struct.eff_ch_loc.';
    end

    Q_n_square = Q_n * Q_n';
    for ang_idx = 1 : length(test_ang_deg)
        z = exp(1i * 2 * pi / array_struct.lambda_c * array_struct.unit * -sind(test_ang_deg(ang_idx)));
        test_sv = z.^array_struct.eff_ch_loc;
        P_MUSIC(ang_idx) = 1 / (test_sv' * Q_n_square * test_sv);
    end

if plot_flag == 1
    figure()
    plot(test_ang_deg, pow2db(abs(P_MUSIC)));
    grid on
    xlabel('Test angle [deg]');
    ylabel('Magnitude [dB]');
end

[pks, pks_ang, ~, ~] = findpeaks(pow2db(abs(P_MUSIC)), test_ang_deg);
[~, order] = sort(pks, 'descend');
esti_ang_deg = pks_ang(order(1:Ntarget));
    

end