From b000e2702ed48fec287bdd7932f1b628fb1ab164 Mon Sep 17 00:00:00 2001
From: Josh Gao <josh_gao@foxmail.com>
Date: Tue, 28 Mar 2023 00:22:57 +0800
Subject: [PATCH] minor change to channel amp phase est .m script

add plot grid
---
 .../20230326/multiBitCorrInterSampleDiff.m    | 30 +++++++++++--------
 1 file changed, 17 insertions(+), 13 deletions(-)

diff --git a/projects/datalink_814/dl814_k7_cal_coarse/data/20230326/multiBitCorrInterSampleDiff.m b/projects/datalink_814/dl814_k7_cal_coarse/data/20230326/multiBitCorrInterSampleDiff.m
index 6019f377..86ea807c 100644
--- a/projects/datalink_814/dl814_k7_cal_coarse/data/20230326/multiBitCorrInterSampleDiff.m
+++ b/projects/datalink_814/dl814_k7_cal_coarse/data/20230326/multiBitCorrInterSampleDiff.m
@@ -1,20 +1,20 @@
 %% File Header/文件说明
 %
-% Beamforming with phased array derives signal characteristics from phase 
-% differences between sensors. Therefore the amplitude-phase consistence is 
-% vital to phased systems. 
-% 
-% The script analyzes the amp-phase relations of ILA captured data, the format 
-% of which is square-shaped pseudorandorm bit sequence. Each channel is 
-% processed seperately with different frequency shifts and different optimum 
-% sampling points. The estimation of amplitude and phase are based on 
+% Beamforming with phased array derives signal characteristics from phase
+% differences between sensors. Therefore the amplitude-phase consistence is
+% vital to phased systems.
+%
+% The script analyzes the amp-phase relations of ILA captured data, the format
+% of which is square-shaped pseudorandorm bit sequence. Each channel is
+% processed seperately with different frequency shifts and different optimum
+% sampling points. The estimation of amplitude and phase are based on
 % acculumated correlation peaks.
 %
 clc; clear;
 %% initial parameters/初始参数
 interp = 8; % interpolation factor
 channelNum = 4;
-dataLen = 1024*8;
+dataLen = 131072;
 fs = 48e6;
 dataFile = "iladata_ant_3-1.csv";
 
@@ -80,13 +80,15 @@ if dataFile.contains("loop")
   plot(ampEstSym(:,[1,4]));
   legend({"ch1","ch4"});
   title("Amplitude Estimation");
-  ylim([min(ampEstSym(:,[1,4]),[],'all')-0.1,max(ampEstSym(:,[1,4]),[],'all')+0.1])
+  ylim([min(ampEstSym(:,[1,4]),[],'all')-0.1,max(ampEstSym(:,[1,4]),[],'all')+0.1]);
+  grid on; grid minor;
 
   subplot(122);
   plot(angleEstSym(:,[1,4]));
   legend({"ch1","ch4"});
   title("Angle Estimation");
-  ylim([min(angleEstSym(:,[1,4]),[],'all')-10,max(angleEstSym(:,[1,4]),[],'all')+10])
+  ylim([min(angleEstSym(:,[1,4]),[],'all')-1,max(angleEstSym(:,[1,4]),[],'all')+1]);
+  grid on; grid minor;
 
 else
 
@@ -94,12 +96,14 @@ else
   plot(ampEstSym);
   legend({"ch1","ch2","ch3","ch4"});
   title("Amplitude Estimation");
-  ylim([min(ampEstSym,[],'all')-0.2,max(ampEstSym,[],'all')+0.2])
+  ylim([min(ampEstSym,[],'all')-0.2,max(ampEstSym,[],'all')+0.2]);
+  grid on; grid minor;
 
   subplot(122);
   plot(angleEstSym);
   legend({"ch1","ch2","ch3","ch4"});
   title("Angle Estimation");
-  ylim([min(angleEstSym,[],'all')-10,max(angleEstSym,[],'all')+10])
+  ylim([min(angleEstSym,[],'all')-10,max(angleEstSym,[],'all')+10]);
+  grid on; grid minor;
 
 end