Name
Title | ||
|---|---|---|
Parameter Estimation Based on Fractional Power Spectrum Density in Bistatic MIMO Radar System Under Impulsive Noise Environment. |
Abstract | ||
|---|---|---|
This paper takes an Alpha-stable distribution as the noise model to solve the parameter estimation problem of bistatic multiple-input multiple-output (MIMO) radar system in the impulsive noise environment. For a moving target, its echo often contains a time-varying Doppler frequency. Furthermore, the echo signal may be corrupted by a non-Gaussian noise. It causes the conventional algorithms and signal models degenerating severely in this case. Thus, this paper proposes a new signal model and a novel method for parameter estimation in bistatic MIMO radar system in the impulsive noise environment. It combines the fractional lower-order statistics (FLOS) and fractional power spectrum density (FPSD), for suppressing the impulse noise and estimating parameters of the target in fractional Fourier transform domain. Firstly, a new signal array model is constructed based on the $$\\alpha $$ź-stable distribution model. Secondly, Doppler parameters are jointly estimated by peak searching of the FLOS---FPSD. Furthermore, two modified algorithms are proposed for the estimation of direction-of-departure and direction-of-arrival (DOA), including the fractional power spectrum density based on MUSIC algorithm (FLOS---FPSD---MUSIC) and the fractional lower-order ambiguity function based on ESPRIT algorithm (FLOS---FPSD---ESPRIT). Simulation results are presented to verity the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s00034-015-0203-5 | CSSP |
Keywords | Field | DocType |
Bistatic MIMO radar, Alpha-stable distribution model, Parameter estimation, Fractional power spectrum density, FLOS–FPSD–MUSIC algorithm, FLOS–FPSD–ESPRIT algorithm | Ambiguity function,Control theory,Bistatic mimo radar,MIMO,Bistatic radar,Impulse noise,Estimation theory,Doppler effect,Fractional Fourier transform,Mathematics | Journal |
Volume | Issue | ISSN |
35 | 9 | 1531-5878 |
Citations | PageRank | References |
4 | 0.40 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Li | 1 | 4 | 0.74 |
| Tianshuang Qiu | 2 | 313 | 43.84 |
| Shi Xiaofei | 3 | 7 | 1.90 |