This block estimates peaks of a given matrix. A matrix can be represented as a combination of vectors and tagged streams. Input has to be a matrix with linear scaled values (NOT logarithmic scaled!). Used algorithm is a 2D OS-CFAR algorithm. The algorithm uses around the cell under test (CUT) on each side samp_compare samples to estimate the noise floor. samp_protect is a protected are around the CUT which is not used for acquiring compare samples. Index 0 of a input vector refers to x axis properties and index 1 refers to y axis properties. The relative threshold is defined by the bin of the vector within the sorted samp_compare samples. A standard value is rel_threshold = 0.78. The value of this bin is multiplied by mult_threshold and compared with the CUT. If the magnitude square of the CUT is greater than the threshold the matrix item is accepted. Used identifiers (symbols) for data are 'axis_x', 'axis_y' and 'power'.
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#include <os_cfar_2d_vc.h>
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static sptr | make (int vlen, std::vector< int > samp_compare, std::vector< int > samp_protect, float rel_threshold, float mult_threshold, const std::string &len_key="packet_len") |
| Return a shared_ptr to a new instance of radar::os_cfar_2d_vc.
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This block estimates peaks of a given matrix. A matrix can be represented as a combination of vectors and tagged streams. Input has to be a matrix with linear scaled values (NOT logarithmic scaled!). Used algorithm is a 2D OS-CFAR algorithm. The algorithm uses around the cell under test (CUT) on each side samp_compare samples to estimate the noise floor. samp_protect is a protected are around the CUT which is not used for acquiring compare samples. Index 0 of a input vector refers to x axis properties and index 1 refers to y axis properties. The relative threshold is defined by the bin of the vector within the sorted samp_compare samples. A standard value is rel_threshold = 0.78. The value of this bin is multiplied by mult_threshold and compared with the CUT. If the magnitude square of the CUT is greater than the threshold the matrix item is accepted. Used identifiers (symbols) for data are 'axis_x', 'axis_y' and 'power'.
- Parameters
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vlen | Input vector length |
samp_compare | Compare samples (vector index refers to axis) |
samp_protect | Protected samples (vector index refers to axis) |
rel_threshold | Relative threshold |
mult_threshold | Multiplier threshold |
len_key | Packet length key for tagged stream |
◆ sptr
◆ make()
static sptr gr::radar::os_cfar_2d_vc::make |
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int |
vlen, |
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std::vector< int > |
samp_compare, |
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std::vector< int > |
samp_protect, |
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float |
rel_threshold, |
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float |
mult_threshold, |
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const std::string & |
len_key = "packet_len" |
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static |
◆ set_mult_threshold()
virtual void gr::radar::os_cfar_2d_vc::set_mult_threshold |
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float |
inp | ) |
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pure virtual |
◆ set_rel_threshold()
virtual void gr::radar::os_cfar_2d_vc::set_rel_threshold |
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float |
inp | ) |
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pure virtual |
◆ set_samp_compare()
virtual void gr::radar::os_cfar_2d_vc::set_samp_compare |
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std::vector< int > |
inp | ) |
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pure virtual |
◆ set_samp_protect()
virtual void gr::radar::os_cfar_2d_vc::set_samp_protect |
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std::vector< int > |
inp | ) |
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pure virtual |
The documentation for this class was generated from the following file: