diff --git a/meson.build b/meson.build
index 351922ff619aab9d42e549e2521eb12e2df6ed1d..6488ca5846b69e61423dc49367326222e532cf8a 100644
--- a/meson.build
+++ b/meson.build
@@ -1792,6 +1792,9 @@ mod_and_m_tests = [
{ 'test' : [ 'ecb/pooled_fgls/test_param_names.mod' ] },
# Particle files
+ { 'test' : [ 'particle/noisy_ar1.mod',
+ 'particle/noisy_ar1_nlf_sis.mod'],
+ 'extra' : [ 'particle/noisy_ar1_data.m'] },
{ 'test' : [ 'particle/dsge_base2.mod' ],
'extra' : [ 'particle/risky.m',
'particle/extreme.m',
diff --git a/tests/particle/noisy_ar1_data.m b/tests/particle/noisy_ar1_data.m
new file mode 100644
index 0000000000000000000000000000000000000000..628da5930367cc5634290cdb979b0fe05bcff69b
--- /dev/null
+++ b/tests/particle/noisy_ar1_data.m
@@ -0,0 +1,20008 @@
+% Dataset generated by noisy_ar1.mod
+% 20-Mar-2025 11:17:20
+x = [
+ 0.25935053
+ 0.37479652
+ 0.18049158
+ 0.22443373
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+
diff --git a/tests/particle/noisy_ar1_nlf_sis.mod b/tests/particle/noisy_ar1_nlf_sis.mod
new file mode 100644
index 0000000000000000000000000000000000000000..b4b09658eb788d82273595f6406141930fe8fff3
--- /dev/null
+++ b/tests/particle/noisy_ar1_nlf_sis.mod
@@ -0,0 +1,48 @@
+var x y;
+varexo v;
+
+parameters r;
+
+r = .975;
+
+model;
+ y = x;
+ x = r*x(-1) + v;
+end;
+
+shocks;
+ var v; stderr sqrt(0.02);
+end;
+
+steady;
+
+check;
+
+estimated_params;
+ r, .975, uniform_pdf,,,0,1;
+ stderr y, sqrt(.2), uniform_pdf,,,0,1;
+ stderr v, sqrt(.02), uniform_pdf,,,0,1;
+end;
+
+varobs y;
+
+
+options_.particle.status = 1; // Required because we intend to use a nonlinear filter with a linear model
+
+
+estimation(nobs=100,
+ mode_compute=0,
+ mh_replic=0,
+ cova_compute=0,
+ mode_file=noisy,
+ datafile=noisy_ar1_data,
+ order=1,
+ resampling=systematic,
+ number_of_particles = 5000000,
+ filter_algorithm=sis);
+
+load optimal_value_with_linear_kalman_filter
+
+if 100*abs((oo_.likelihood_at_initial_parameters-(-ovalue))/(-ovalue))>0.05
+ error('Difference between SIS and linear Kalman filter is bigger than 0.05%%')
+end