Analysis of recorded acoustic gunshot signals to determine firearm waveform characteristics requires an understanding of the impulsive signal events, how the waveforms vary among different sources, and how the waveforms are affected by the environment and the recording system. This paper presents empirical results from waveforms produced by different small firearms and an analysis of their variations under different and controlled conditions. Acoustic signals were generated using multiple firearm makes and models firing different ammunition types. Simultaneous recordings from the microphones located at different distances from the source and at different azimuth angles (from the line-of-fire) were used to study source characteristics and sound propagation effects. The results indicate that recorded gunshot waveforms generally consist of multiple acoustic events, and these are observable depending on the received distance and azimuth angle. The source blast size, microphone distance, and microphone azimuth angle are the primary factors affecting the recorded muzzle blast characteristics. Ground or object reflections and ballistic shockwaves and their reflections can interfere with the muzzle blast waveform and its measurements. This experiment confirmed and quantified the wide range of correlation results between waveforms recorded from different source, microphone distance, and microphone angle configurations.

1.
E. A.
Page
and
B.
Sharkey
, “
System for reporting gunshots in urban environments
,” in
Proceedings of the Society of Photo-Optical Instrumentation Engineers (SPIE) Symposium on Public Safety/Law Enforcement Technology
(
1995
), Vol.
2497
, pp.
162
172
.
2.
Information on the Shotspotter Gunshot Location System available at http://www.shotspotter.com/solutions/index.html (Last viewed 11/08/2010).
3.
G. L.
Duckworth
,
D. C.
Gilbert
, and
J. E.
Barger
, “
Acoustic counter-sniper system
,” in
Proceedings of the Society of Photo-Optical Instrumentation Engineers. (SPIE) International Symposium on Enabling Technologies for Law Enforcement and Security
(
1996
), Vol.
2938
, pp.
262
275
.
4.
Information on the Vehicle-mounted Acoustic Sniper Detection System available at http://www.bbn.com/products_and_services/boomerang (Last viewed 10/25/2010).
5.
T.
Mackinen
and
P.
Pertila
, “
Shooter localization and bullet trajectory, caliber, and speed estimation based on detected firing sounds
,”
Appl. Acoust.
71
,
902
913
(
2010
).
6.
G.
Simon
,
M.
Maróti
,
A.
Lédeczi
,
G.
Balogh
,
B.
Kysy
,
A.
Nádas
,
G.
Pap
,
J.
Sallai
, and
K.
Frampton
, “
Sensor network-based countersniper system
,” in
Proceedings of the Second Association Computing Machinery Conference on Embedded Networked Sensor Systems
, Baltimore, MD (
2004
), pp.
1
12
.
7.
P.
Volgyesi
,
G.
Balogh
,
A.
Nadas
,
C.
Nash
, and
A.
Ledeczi
, “
Shooter localization and weapon classification with soldier-wearable networked sensors
,” in
Proceeding of the 5th International Conference on Mobile Systems
, San Juan, Puerto Rico, (
2007
), pp.
113
126
.
8.
S. D.
Beck
,
H.
Nakasone
, and
J. T.
Kalb
, “
Forensic models for recorded acoustic gunshot signals (A)
,”
J. Acoust. Soc. Am.
107
,
2829
(
2000
).
9.
R. C.
Maher
and
S. R.
Shaw
, “
Deciphering gunshot recordings
,” in
Audio Engineering Society 33rd International Conference: Audio Forensics—Theory and Practice
, Denver, CO, Paper 2 (June
2008
).
10.
B. E.
Koenig
,
S. M.
Hoffman
,
H.
Nakasone
, and
S. D.
Beck
, “
Signal convolution of recorded free-field gunshot sounds
,”
J. Audio Eng. Soc.
,
46
(
7/8
),
634
653
(
1998
).
11.
H.
Krier
and
M.
Summerfield
, “
Progress in astronautics and aeronautics
,”
Interior Ballistics of Guns
,
American Institute of Aeronautics and Astronautics, New York University
,
New York, NY
, Vol.
66
, Part I (
1960
).
12.
W. E.
Baker
,
Explosions in Air
(
University of Texas Press
,
Austin TX
,
1973
), Chap. 1–3.
13.
A. V.
Oppenheim
,
A. S.
Willsky
, and
S. H.
Nawab
,
Signals and Systems
(
Prentice Hall Englewood Cliffs,
NJ
,
1997
), p.
329
.
14.
ANSI S2.20-1983:
American National Standard for Estimating Airblast Characteristics for Single Point Explosions in Air
(
Acoustical Society of America
,
New York
,
1983
).
15.
R. D.
Ford
,
D. J.
Saunders
, and
G.
Kerry
, “
The acoustic pressure waveform from small unconfined charges of plastic explosive
,”
J. Acoust. Soc. Am.
94
,
408
417
(
1993
).
16.
T. F. W.
Embleton
, “
Tutorial on sound propagation outdoors
,”
J. Acoust. Soc. Am.
100
,
31
48
(
1996
).
17.
K.
Attenborough
,
S.
Taherzadeh
,
H. E.
Bass
,
X.
Di
,
R.
Raspet
,
G. R.
Becker
,
A.
Güdesen
,
A.
Chrestman
,
G. A.
Daigle
,
A.
L’Espérance
,
Y.
Gabillet
,
K. E.
Gilbert
,
Y. L.
Li
,
M. J.
White
,
P.
Naz
,
J. M.
Noble
, and
H. A. J. M.
van Hoof
, “
Benchmark cases for outdoor sound propagation models
,”
J. Acoust. Soc. Am.
97
(
1
),
173
191
(
1995
).
18.
R. T.
Beyer
,
Nonlinear Acoustics
(
Acoustical Society of America
,
New York
,
1997
), Chap. IV.
19.
A. A.
Atchley
, “
Not your ordinary sound experience: A nonlinear-acoustics primer
,”
Acoust. Today
1
,
19
24
(
2005
).
20.
G. R.
Garinther
and
J. B.
Moreland
, “
Transducer techniques for measuring the effect of small-arms noise on hearing
,”
ARL-TR 11-65
,
U.S. Army Human Engineering Laboratories
,
Aberdeen Proving Grounds, MD
(
1965
) (NTIS AD806921).
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