A New Parameter Estimation Algorithm Based on Sub-band Dual Frequency Conjugate LVT

TL;DR

This paper introduces SDFC-LVT, a novel parameter estimation algorithm for ground moving targets that reduces ambiguity and computational load by using sub-band signals and conjugate LVT, validated through simulations and real data.

Contribution

The paper presents a new search-free parameter estimation method that mitigates ambiguity and range walk issues in ground moving target detection using sub-band dual frequency conjugate LVT.

Findings

Reduces ambiguity in parameter estimation

Capable of compensating multiple target range walks

Validated with simulated and real data

Abstract

A new parameter estimation algorithm, known as Sub-band Dual Frequency Conjugate LVT (SDFC-LVT), is proposed for the ground moving targets. This algorithm first constructs two sub-band signals with different central frequencies. After that, the two signals are shifted by different values in frequency domain and a new signal is constructed by multiplying one with the conjugate of the other. Finally, Keystone transform and LVT operation are performed on the constructed signal to attain the estimates. The cross-term and the performance of the proposed method are analyzed in detail. Since the equivalent carrier frequency is reduced greatly, the proposed method is capable of obtaining the accurate parameter estimates and resolving the problem of ambiguity which invalidates Keystone transform. It is search-free and can compensate the range walk of multiple targets simultaneously, thereby reducing the computational burden. The effectiveness of the proposed method is demonstrated by both simulated and real data.