Defense Application Brief
Submarine Acoustics
The Solution
The Acoustical Integration and Test Group has designed a unit called
the Special Test Equipment (STE) that simulates the acoustical array on
the submarine. The STE accepts external commands from a workstation,
drives the Unit Under Test (UUT), and collects and writes data back to
the workstation.
Signal Processing & Graphical Analysis
One of the tools that Mehul Motani, a Design Engineer at Lockheed
Martin, uses in the integration and testing of the UUTs is
DADiSP.
DADiSP is run on the workstation and is used to generate the
acoustical input data which drives the STE. Once the UUT processes the
data, the output data is collected by the workstation for further
analysis. DADiSP is used to extract/sort the data and for signal
processing including FFTs, correlation, and filtering. The results are
displayed graphically within DADiSP.
Signal Processing Simulation
Mehul Motani uses DADiSP to simulate signal processing that occurs in
the beamformer. In doing this he can simulate some of the output
characteristics which can then be compared to the actual beamformer
characteristics. This allows him to characterize the beamformer's
performance and make any design changes which are necessary. Although
much of the processing that goes on in the beamformer is confidential,
an example of the simulation of a noise filter is shown to demonstrate
how DADiSP is used.
Basebanded Filtering
Window 1 shows a noisy signal which consists of a single
tone signal plus normally distributed noise. One of the signal
processing paths in the beamformer filters out noise. To accomplish
this the signal is basebanded, which means its center frequency is set
to zero. The noise is then removed by filtering this signal through a
low pass filter generated by a 20 point Kaiser window as shown in
Window 9. The filtered signal is then upshifted back to its original
higher frequency. The basebanded signal, the filtered signal, and the
upshifted signal are displayed in Windows 2, 3, and 4 respectively.
Window 5 shows the original noisy signal and the spectrum of the
filtered clean signal is shown in Window 8. By comparing these two
signals one can easily see that much of the noise has clearly been
filtered out of the signal in Window 8.
Acoustic Data Synthesis
Since DADiSP can easily generate and manipulate series of numbers, it
was also used to generate the acoustical input data. DADiSP was used
to generate bandlimited noise as an example of one type input data.
Random noise has an infinite flat spectrum which is composed of all
frequencies with equal magnitudes. Bandlimited noise is random noise
that has frequency components only in a desired frequency band. The
noise was generated by adding randomly phased sine waves. The
Worksheet shows an example of a 5000-point noise series, sampled at
10000 Hz and bandlimited to a frequency of 1953 Hz to 3476 Hz, which
corresponds to fft bin 50 to bin 90.
DADiSP for Simulation and Signal Processing
Thus DADiSP not only enables the simulation of the acoustical input
data, but also permits the simulation of the signal processing that
occurs in the beamformer. The simulation of the signal processing
allows Lockheed Martin to predict the signal-to-noise ratios at the
output. After running a test, the actual signal-to-noise ratio is
computed and compared to the theoretical value. According to Mehul
Motani, "The advantage of DADiSP is twofold. First, there is its
functionality, which makes DADiSP a useful tool. Second, there is
ease-of-use, which makes DADiSP a practical tool. The combination of
usefulness and ease-of-use makes DADiSP a great asset in any
environment. We use DADiSP to do a lot of signal processing and
simulation." In this way DADiSP aids in the development and
manufacturing of the acoustical processing systems for submarine combat
systems, providing a safer more effective environment for naval
personnel.