bkiedinger/castelion_radar_alinx_kintex
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support for multiple waveforms

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bkiedinger@gmail.com
2025-06-29 20:18:52 -05:00
parent d60c55f292
commit 6dfee38d7c
9 changed files with 116 additions and 57 deletions
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36
python/radar_manager.py
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@@ -6,6 +6,7 @@ import struct
import time
import numpy as np
from matplotlib import pyplot as plt
import data_structures as msg_types
from data_structures import CpiHeader
@@ -273,32 +274,36 @@ class RadarManager:
timecode = self.axi_read_register(UTIL_REG_ADDR + 0x118)
print('FPGA Datestamp %x_%x' % (datecode, timecode))
def load_waveform(self, ch, amp, bw, pw):
# addr = 0x0010000 + 0x0010000 * ch
def load_waveform(self, ch, amp, bw, pw, num_wf=1):
addr = 0x0020000 + 0x0020000 * ch
print('Load', hex(addr))
num_samples = pw
wf = form_chirp(pw, bw, 1)
wf = wf * amp
bram_address = addr
waveforms = np.empty(num_wf*num_samples, dtype=np.complex64)
for wf_ind in range(num_wf):
wf = form_chirp(pw, bw, 1)
wf = wf * amp / (wf_ind + 1)
waveforms[(wf_ind * num_samples):(wf_ind * num_samples + num_samples)] = wf
iq = wf * 0x7FFF
# plt.plot(waveforms.real)
# plt.show()
iq = waveforms * 0x7FFF
iq_real = iq.real.astype(np.uint16)
iq_imag = iq.imag.astype(np.uint16)
iq_real = iq_real.astype(np.uint32)
iq_imag = iq_imag.astype(np.uint32)
data = iq_real | (iq_imag << 16)
num_bursts = num_samples / msg_types.MAX_BURST_LENGTH
num_bursts = len(waveforms) / msg_types.MAX_BURST_LENGTH
num_bursts = int(np.ceil(num_bursts))
for i in range(num_bursts):
start_ind = i * msg_types.MAX_BURST_LENGTH
stop_ind = start_ind + msg_types.MAX_BURST_LENGTH
stop_ind = min(stop_ind, num_samples)
stop_ind = min(stop_ind, num_wf*num_samples)
burst_data = data[start_ind:stop_ind]
self.axi_write_register_burst(bram_address + i * 4 * msg_types.MAX_BURST_LENGTH, burst_data)
self.axi_write_register_burst(addr + i * 4 * msg_types.MAX_BURST_LENGTH, burst_data)
def reset_10g_udp(self):
val = self.axi_read_register(0x40050008)
@@ -348,7 +353,7 @@ class RadarManager:
# Just force the enable high all the time before we start running
self.axi_write_register(TIMING_ENGINE_ADDR + 0x88 + i * 8, 0x1FFFFFFF)
def setup_tx(self, num_samples, start_sample):
def setup_tx(self, num_samples, start_sample, num_wf):
if JESD204B:
self.axi_write_register(WAVEFORM_GEN_ADDR + 0x4, num_samples >> 1)
self.axi_write_register(WAVEFORM_GEN_ADDR + 0x8, start_sample >> 1)
@@ -356,6 +361,8 @@ class RadarManager:
self.axi_write_register(WAVEFORM_GEN_ADDR + 0x4, num_samples >> 2)
self.axi_write_register(WAVEFORM_GEN_ADDR + 0x8, start_sample >> 2)
self.axi_write_register(WAVEFORM_GEN_ADDR + 0xC, num_wf)
# Setup TX Strobe
# self.axi_write_register(TIMING_ENGINE_ADDR + 0x80, start_sample >> 2)
# self.axi_write_register(TIMING_ENGINE_ADDR + 0x84, num_samples >> 2)
@@ -389,8 +396,11 @@ class RadarManager:
def configure_cpi(self, pri, inter_cpi, num_pulses, num_samples, start_sample,
tx_num_samples, tx_start_sample, rx_lo_offset, tx_lo_offset, dec_rate):
self.load_waveform(0, 1, 0.05, tx_num_samples)
self.load_waveform(1, 1, 0.05, tx_num_samples)
num_wf = 4
self.load_waveform(0, 1, 0.05, tx_num_samples, num_wf)
self.load_waveform(1, 1, 0.05, tx_num_samples, num_wf)
num_samples_quant = int(self.packet_size / 4)
if num_samples % num_samples_quant > 0:
@@ -421,6 +431,6 @@ class RadarManager:
self.setup_timing_engine(pri, num_pulses, inter_cpi)
self.setup_rx(num_samples, start_sample, dec_rate)
self.setup_tx(tx_num_samples, tx_start_sample)
self.setup_tx(tx_num_samples, tx_start_sample, num_wf)
self.setup_cpi_header(pri, inter_cpi, num_pulses, num_samples, start_sample,
tx_num_samples, tx_start_sample, rx_lo_offset, tx_lo_offset)