Name
Abstract | ||
|---|---|---|
An adaptive pulse compression (APC) algorithm is developed, based on the concept of minimum mean square error (MMSE), that utilizes matched filter (MF) output as its input and is termed Matched-Filter-Reiterative-MMSE (MF-RMMSE). MF-RMMSE allows the use of a smaller processing window than traditional reiterative-MMSE (RMMSE) but achieves identical performance at side-lobe suppression, and thus the computational load is reduced. MF-RMMSE also facilitates the implementation of APC to current radar sensors, since the existing MF implementations can be untouched. The derivation of MF-RMMSE is provided in detail, and its performance is validated through both simulations and actual airborne radar measurements for "mixed-target" observations, which includes both hard targets and distributed weather targets. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TAES.2014.130544 | IEEE Trans. Aerospace and Electronic Systems |
Field | DocType | Volume |
Radar,Continuous-wave radar,Pulse-Doppler radar,Radar tracker,Control theory,Minimum mean square error,Electronic engineering,Matched filter,Low probability of intercept radar,Space-time adaptive processing,Mathematics | Journal | 51 |
Issue | ISSN | Citations |
1 | 0018-9251 | 2 |
PageRank | References | Authors |
0.46 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengzheng Li | 1 | 8 | 2.16 |
| Yan Zhang | 2 | 3 | 0.93 |
| shang wang | 3 | 7 | 2.70 |
| Lihua Li | 4 | 4 | 1.44 |
| Matthew McLinden | 5 | 2 | 0.80 |