Performance Bound for Joint Multiple Parameter Target Estimation in Sparse Stepped-Frequency Radar: A Comparison Analysis

Performance Bound for Joint Multiple Parameter Target Estimation in Sparse Stepped-Frequency Radar: A Comparison Analysis

Blog Article

A performance bound—Cramér-Rao lower bound (CRLB) for target estimation and detection in sparse stepped frequency radars is presented.The Dishwasher vector formulation of this CRLB is used to obtain a lower bound on the estimation error.The estimation performance can be transformed into different types of CRLB structures.Therefore, the expressions of bounds under three equivalent models are derived separately: time delay and Doppler stretch estimator, joint multiple parameter estimator, and sparse-based estimator.The variables to be estimated include the variances of unknown noise, range, velocity, and the real and imaginary parts of the amplitude.

A general performance expression is proposed by considering the Shaving Cream echo of the target in the line-of-sight.When the relationship between CRLB and various parameters are discussed in detail, the specific effect of waveform parameters on a single CRLB is compared and analyzed.Numerical simulations demonstrated that the resulting CRLB exhibits considerable theoretical and practical significance for the selection of optimal waveform parameters.