Abstract
This letter proposes an effective pre-processing technique for robust estimation of signal parameters via rotational invariance techniques (ESPRIT)-based single-tone frequency estimation against an I/Q mismatch. For the implementation of a high-accuracy ranging/radar system, parametric-based algorithms such as MUSIC, ESPRIT and their variations have been adopted due to their superior estimation capability for single-tone frequency estimations. Since most ranging/radar system have the direct conversion architecture, I/Q imbalance problem occurs in the form of spurious frequencies of the frequency spectrum. For this reason, the proposed pre-processing technique is designed to make use of the Hilbert transform structure for received signals. The estimation performance of the proposed pre-processing technique in single-tone frequency is derived and compared with the results from a Monte-Carlo simulation. The root-mean-square error (RMSE) of the proposed method is compared with that of an ESPRIT-based method for various parameters. DOI: http://dx.doi.org/10.5755/j01.eee.21.6.13757
Highlights
Single-tone frequency estimation is one of the main challenging in wireless systems [1], [2]
We propose an effective preprocessing technique for robust ESPRIT-based single-tone frequency estimation against instances of I/Q mismatch
The reduced root-mean-square error (RMSE) of the estimator for the received signal distorted by the I/Q imbalance, the ratio of the RMSE of the proposed method to the RMSE of the signal perturbed by the I/Q imbalance and the Cramer-Rao lower bound (CRLB) are derived
Summary
Single-tone frequency estimation is one of the main challenging in wireless systems [1], [2]. It has numerous applications in the instrumentation and measurement issues such as testing of sine waves and the single-target detection of the radar. In the millimeter-wave systems of the FMCW radar, direct conversion types of architecture are commonly implemented to reduce the cost and power consumption of the receiver. Well-known parametric methods are multiple signal classification (MUSIC) [5], matrix pencil [6], Propagator [7] and estimation of signal parameters via rotational invariance techniques (ESPRIT) [8]. We propose an effective preprocessing technique for robust ESPRIT-based single-tone frequency estimation against instances of I/Q mismatch
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