In this paper, continuous wavelet transform (CWT)-based filtering strategy is utilized along with Hilbert transform (HT) for modal identification of reinforced concrete road bridge. Although, wavelet-based pre-filtering prior to Hilbert-Huang transform is published in the literature, the advantage and uniqueness of the proposed method over traditional HHT or WT-HHT lies in its ability to bypass the time-consuming evaluation of intrinsic mode functions (IMFs) that often produces spurious modes and mode-mixing. This is achieved using a modified form of Littlewood-Paley basis function whose compact support in frequency domain helps to filter the signal in leakage-free frequency bands. It is followed by HT for modal parameter estimation. The proposed identification algorithm is first tested with synthetic records having closely spaced strong and weak modes to validate its efficiency and accuracy. Then, a full-scale reinforced concrete road bridge is considered for experimental validation. Results presented in this work clearly show that it can effectively evaluate significant number of modes which are helpful in finite element model updating of large structures. Finally, the advantage of the proposed method is demonstrated by comparing its performance with other methods available in the literature.