Name
Title | ||
|---|---|---|
Impact of frequency increment errors on frequency diverse array MIMO in adaptive beamforming and target localization |
Abstract | ||
|---|---|---|
In this paper, we investigate the impacts of frequency increment errors on frequency diverse array (FDA) multiple-input and multiple-output (MIMO) radar in adaptive beamforming and target localization. Since a small frequency increment, as compared to the carrier frequency, is applied between the transmit elements, FDA MIMO radar offers a range-dependent transmit beampattern to suppress range-dependent interferences and thus yields better direction-of-arrival (DOA) estimation performance than conventional MIMO radar. But the frequency increment errors will degrade FDA MIMO performance such as adaptive beamforming and target localization precision. In adaptive transmit beamforming analysis, we analyze the FDA MIMO radar beampattern mainlobe offset in range dimension, angle dimension and signal to interference and noise ratio (SINR) performance under different frequency increment error cases. While for the target localization investigation, the performance analysis is based on an explicit expansion of the estimation error in the signal subspace and frequency increment error matrix. Simulation results show that the impacts of frequency increment errors are mainly on the range dimension, i.e., the range offset of mainlobe in beamforming and range estimation in target localization, especially for large frequency increment errors. The Data model for FDA MIMO radar is derived with frequency increment error.We analysis the FDA MIMO radar mainlobe offset.We investigate SINR degradation caused by frequency increment errors.The subspace-based localization performance of the FDA MIMO radar is analyzed.We derive expressions of FDA RMSEs based on the subspace processing algorithms. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.dsp.2015.05.005 | Digital Signal Processing |
Keywords | Field | DocType |
Frequency diverse array (FDA) MIMO radar,Frequency increment errors,Beampattern mainlobe offset,Range estimated error | Adaptive beamformer,Artificial intelligence,Interference (wave propagation),Radar,Beamforming,Pattern recognition,Subspace topology,MIMO,Algorithm,Speech recognition,Signal subspace,Mathematics,Offset (computer science) | Journal |
Volume | Issue | ISSN |
44 | C | 1051-2004 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuandong Gao | 1 | 1 | 0.36 |
| Huai-Zong Shao | 2 | 50 | 13.46 |
| Hui Chen | 3 | 17 | 5.69 |
| Jingye Cai | 4 | 4 | 2.70 |
| Wen-Qin Wang | 5 | 368 | 45.93 |