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

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A performance bound—Cramér-Rao lower bound (CRLB) for target estimation and detection in sparse stepped frequency radars is presented.The 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 camo iphone se case 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 click here is proposed by considering the 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.