Range, radial velocity, and acceleration MLE using frequency modulation coded LFM pulse train
| Autor: | Wei Qi, Zhenmiao Deng, Ping-ping Pan, Yixiong Zhang, Hui Liu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Physics
Coupling 020301 aerospace & aeronautics Ambiguity function Applied Mathematics Bluestein's FFT algorithm Monte Carlo method 020206 networking & telecommunications 02 engineering and technology Acceleration 0203 mechanical engineering Computational Theory and Mathematics Artificial Intelligence Control theory Signal Processing 0202 electrical engineering electronic engineering information engineering Range (statistics) Pulse wave Computer Vision and Pattern Recognition Electrical and Electronic Engineering Statistics Probability and Uncertainty Frequency modulation Algorithm |
| Zdroj: | Digital Signal Processing. 60:252-261 |
| ISSN: | 1051-2004 |
| DOI: | 10.1016/j.dsp.2016.09.009 |
| Popis: | Linearly frequency modulation (LFM) pulse train and linearly stepped frequency (LSF) pulse train are mostly used in radar systems. However, the estimation performance of target motion parameters may be affected by the high recurrent lobe levels and the rangeDoppler coupling phenomenon appearing in ambiguity function (AF). In multi-target scenarios, the estimation performance becomes even worse. The Costas frequency-modulation coded (CFMC) LFM pulse train has an ideal thumbtack-shaped AF, thus it can provide motion parameter estimation with high precision. However, the estimation of target motion parameter for the coherent CFMC LFM pulse train has not been investigated in depth. In this paper, we first analyze the properties of the AF of the CFMC LFM pulse train. Based on its convexity and narrow mainlobe width, a fast method to implement the maximum likelihood estimator (MLE) is proposed to estimate the motion parameters. To reduce the computation complexity, the Chirp-Z Transform (CZT) is introduced. Then, the CramerRao lower bounds (CRLBs) on range, velocity and acceleration for frequency-modulation coded (FMC) pulse train are derived. It is shown that the CRLBs are relevant to the frequency coding patterns. Finally, Monte Carlo simulations are performed to verify the performance of the MLE. The results show that the performance of our proposed method can achieve the CRLBs when the signal-noise ratio (SNR) is higher than the threshold SNR. |
| Databáze: | OpenAIRE |
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