This paper establishes the precession model of ballistic missile warhead, and derives the formulas of micro-Doppler frequency induced by the target with precession. In order to obtain micro-Doppler feature of ballistic missile warhead with precession, micro-Doppler bandwidth estimation algorithm, which avoids velocity compensation, is presented based on high-resolution time-frequency transform. The results of computer simulations confirm the effectiveness of the proposed method even with low signal-to-noise ratio.

1.
Liu
,
Y. X.
,
Li
,
X.
, and
Zhuang
,
Z. W.
Research on radar target discrimination in the missile defence system
,
J. Natl. Univ. Defence Technol.
,
2014
,
26
(
4
), pp.
6
9
.
2.
Huang
,
P.K.
Target recognition in anti-missile system
,
J. Strateg. Defence
,
1981
,
10
(
5
), pp.
1
4
.
3.
Chen
,
V. C.
,
Li
,
F.
, and
Ho
,
S. S.
Micro-Doppler effect in radar: phenomenon, model, and simulation study
,
IEEE Trans. Aerosp. Electron. Syst.
,
2006
,
42
(
1
), pp.
2
21
.
4.
Zhu
,
Y. P.
,
Wang
H. Q.
,
Li
X.
, et al. 
Micro-motion feature extraction of spatial ballistic target based on HRRP dynamic sequence
,
Journal of Astronautics
,
2016
,
30
(
3
), pp.
1133
1139
.
5.
Liang
,
X.
,
Zhang
Q.
,
Luo
,
Y.
The research of deceptive jamming of missile warhead based on micro-Doppler effect
,
Journal of Projectiles Rockets Missile & Guidance
,
2011
,
31
(
2
):
56
67
.
6.
Chen
,
V. C.
,
Li
,
F.
,
Ho
,
S. S.
, et al. 
Analysis of micro-Doppler signatures
,
J. IEE Proc. Radar Sonar Navig.
,
2003
,
150
(
4
), pp.
271
276
.
7.
Adriano
,
R.P.
,
Carmine
C.
,
Domenico
G.
, et al. 
On model, algorithm and experiment for micro-Doppler based recognition of ballistic targets
,
IEEE Transactions on Aerospace and Electronic Systems
,
2017
,
53
(
3
), pp.
1088
1108
.
8.
Lei
,
P.
,
Li
,
K. L.
, and
Liu
,
Y. X.
Feature extraction and target recognition of missile targets based on micro-motion
,
ICSP 2012
, pp.
1914
1919
.
9.
Shi
,
L. M.
,
Fu
,
X. J.
,
Cai
,
W.
, et al. 
The performance of analysis of micro-Doppler extracted from radar echoes under different bandwidth
,
IET International Radar Conference
,
2013
, pp.
14
16
.
10.
Sun
,
Z. Q.
,
Li
,
B. Z.
, and
Lu
,
Y. B.
Research on micro-motion and micro-Doppler of ballistic targets
,
IET International Radar Conference
,
2009
, pp.
19
22
.
11.
Rosario
A.
,
Clemente
C.
, and
Pallotta
L.
Micro-Doppler classification of ballistic threats using Krawtchouk moments
,
IEEE Radar Conference
,
2016
, pp.
1
6
.
12.
Pan
X. Y.
,
Fu
,
Q. X.
,
Gu
,
Z. Y.
, et al. 
Micro-Doppler period estimation from ballistic targets with precession
,
ICMCIS 2016
, pp.
1
6
.
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