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Teledyne RIVERPRO - ZD - Vertical Beam Data out; ZF - Vertical Beam Blanking Distance

Teledyne RIVERPRO
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October 2017 RiverPro and RioPro ADCP Guide
Page 130
EAR-Controlled Technology Subject to Restrictions Contained on the Cover Page.
Description: The RiverPro uses ZC to screen vertical beam profile data for the minimum acceptable
correlation requirements. The nominal (maximum) correlation depends on system fre-
quency and vertical beam profile depth cell size (ZS). ZC sets the threshold of the correla-
tion below, which the RiverPro/RioPro flags the data as bad and does not average the
data into the ensemble.
The default threshold is 64 counts. A solid target would have a correlation of 128 counts.
ZD Vertical Beam Data Out
Purpose: Selects the vertical beam profile data types collected by the RiverPro.
Format: ZD vca ps* ***
Range: Firmware switches (see description)
Default: ZD 111100000
Recommended Setting. The default setting for this command is recommended for most applications.
Description: ZD uses firmware switches to tell the RiverPro the types of data to collect and process.
The RiverPro always collects header data, fixed and variable leader data, and checksum
data. Setting a bit to one tells the RiverPro to collect and process that data type. The bits
are described as follows:
v = Velocity p= Percent good * = Reserved
c = Correlation s = Status * = Reserved
a = Echo Intensity * = Reserved * = Reserved
ZF Vertical Beam Blanking Distance
Purpose: Moves the location of first depth cell away from the transducer head to allow the transmit
circuits time to recover before the receive cycle begins.
Format: ZFnnn
Range: nnn = 0 to 500 cm
Default: ZF020
Recommended Setting. The default setting for this command is recommended for most applications.
Description: ZF positions the start of the first depth cell at some vertical distance from the transducer
head. This allows the RiverPro transmit circuits time to recover before beginning the re-
ceive cycle. In effect, ZF blanks out bad data close to the transducer head, thus creating a
depth window that reduces unwanted data in the ensemble.

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